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271 Commits

Author SHA1 Message Date
02bfa898ee adjustments to balancing weights and factors, also XOR op for formulas, if, dump_modify thresh 2016-10-05 15:46:20 -06:00
030df745bc Merge pull request #193 from akohlmey/eam-bugfix
bugfix for eam/alloy/omp and eam/fs/omp
2016-10-05 10:54:36 -06:00
6a97211932 Merge pull request #192 from rbberger/python-interface-bugfix
Revert type checking commit from July
2016-10-05 10:54:08 -06:00
c46be7db62 changes to imbalance weight factors 2016-10-05 10:33:39 -06:00
4381db846b correct the bug discovered by stan due to uninitialized scale factors for eam/alloy/omp and eam/fs/omp 2016-10-04 14:33:26 -04:00
e2caf5c105 Fix code path which allows passing a C++ ptr to PyLammps 2016-10-04 13:57:21 -04:00
11c2892e54 Merge branch 'restrict-weights-and-weight-factors' of https://github.com/akohlmey/lammps 2016-10-04 09:49:09 -06:00
91be47a0d0 Revert type checking commit from July
0aebb2eabe
2016-10-04 11:43:12 -04:00
ab92529b19 Merge pull request #191 from akohlmey/updated-charmm2lammps
Updated charmm2lammps
2016-10-03 17:59:21 -06:00
e079362776 Merge pull request #190 from akohlmey/small-bufixes-and-enhancements
Small bufixes and enhancements
2016-10-03 17:58:36 -06:00
c3ff8812b3 added XOR operator to variable command 2016-10-03 17:57:33 -06:00
03766dbda7 apply bugfix for MEAM provided by Wolfgang Verestek on lammps-users
this closes lammps/#188
2016-10-03 16:28:59 -04:00
6e719f2d94 remove trailing whitespace 2016-10-03 07:07:28 -04:00
45d2cc2895 permission update for ch2lmp tool folder 2016-10-03 07:03:42 -04:00
690f91300b rebuild charmm2lammps example output files with updated tools 2016-10-03 06:58:51 -04:00
3b94627dfe properly handle -nohints flag, make -cmap flag take version as option. step version number 2016-10-03 06:52:30 -04:00
c2e11dffa2 import updated charmm2lammps.pl script from Rober Latour 2016-10-02 20:33:20 -04:00
1985db4fb1 correct designation of meam supporting USER-OMP and meam/spline not 2016-10-01 23:05:05 -04:00
a3e05a2bac permission cleanup 2016-10-01 06:34:45 -04:00
035279de87 correct logic bug in bufix for fix tmd
(cherry picked from commit 267c1ec957)
2016-10-01 06:26:52 -04:00
e2c7acabac Merge pull request #187 from akohlmey/colvars-update-2016-09-30
update colvars library to version 2016-09-30
2016-09-30 09:21:00 -06:00
91edee2530 Merge pull request #186 from akohlmey/small-bugfixes
Collected small bugfixes and enhancements
2016-09-30 09:20:25 -06:00
b9d0f96a19 change purge target in Makefile, also fixed one issue with Make.py 2016-09-30 09:17:55 -06:00
d45e333f7c restrict choice of weight factors and guarantee that weights are >= 0.001 2016-09-30 11:11:32 -04:00
5bb85b482d remove unused variable 2016-09-30 09:38:50 -04:00
d4b074d85b enable dynamic groups for fix dt/reset 2016-09-30 09:09:44 -04:00
6d200061ca update colvars library to version 2016-09-30 2016-09-30 08:15:44 -04:00
cb7bd2799e flag header as C++ to emacs 2016-09-30 07:39:45 -04:00
4337f2c240 include charmm22 and charmm36 cmap files and include date added signature 2016-09-30 07:39:12 -04:00
0eeb240730 whitespace cleanup, fix bug in looking for empty strings, improve read performance and handling of comments 2016-09-30 07:22:47 -04:00
c88acc9613 make reader for target geometry file more resilient 2016-09-29 22:59:46 -04:00
f7b5afee82 Merge pull request #184 from akohlmey/dynamic-groups-for-respa
Dynamic groups for respa
2016-09-29 15:51:34 -06:00
a315dcda9b remove dead code
(cherry picked from commit 7f0994aac0)
2016-09-29 15:13:46 -04:00
f6c77c3aba support dynamic groups with run style respa
(cherry picked from commit b7baa1680d)
2016-09-29 15:13:46 -04:00
5b2becd09b Merge branch 'integration' into new-master 2016-09-29 10:37:09 -04:00
78a22be93f sync Make.py and fix addforce change with GHub
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15675 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-28 22:36:54 +00:00
596b260f5d Merge pull request #45 from akohlmey/small-bugfixes
Small bugfixes
2016-09-28 16:36:04 -06:00
446e7e7369 patch for allowing prd command to work with sorted atoms 2016-09-28 16:33:30 -06:00
189825489c git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15673 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-28 22:32:14 +00:00
bdd0f665ca git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15672 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-28 22:32:12 +00:00
6897cc803f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15671 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-28 22:29:06 +00:00
f511c177c6 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15670 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-28 14:37:45 +00:00
1ec3987b31 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15669 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-28 14:36:30 +00:00
8c1d0031c9 correct typo in Make.py 2016-09-27 18:20:06 -04:00
45e50b46c3 sync with GH
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15668 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-27 21:37:17 +00:00
829d11e88b Merge pull request #44 from rbberger/doc-fixes
Some documentation fixes and IPython updates
2016-09-27 15:36:10 -06:00
1adf3858a9 correct bug and synchronize fix addforce respa level init with other fixes 2016-09-27 17:36:02 -04:00
96f31d6dad Merge pull request #43 from akohlmey/doc-fixes
Documentation fixes
2016-09-27 15:35:41 -06:00
35705217f4 enable multi-processor NEB replicas 2016-09-27 15:34:08 -06:00
9a2f738673 sync with SVN 2016-09-27 15:32:57 -06:00
f82e0c53b6 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15666 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 21:31:04 +00:00
1fbddc97d1 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15665 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 21:31:02 +00:00
1cfa49f03d git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15664 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 21:28:06 +00:00
3486b7d503 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15663 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 21:24:10 +00:00
6fedf8d899 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15662 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 21:18:32 +00:00
56b0856e2f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15661 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 21:16:33 +00:00
f9c2049724 need to ignore new fix cmap sources 2016-09-27 17:12:17 -04:00
e1c6b6b7d1 correctly handle exceptions raised from subprocess module 2016-09-27 17:01:45 -04:00
3333e4b475 Put snap before zbl to get more helpful error message
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15660 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-27 17:21:42 +00:00
a3a3af691c Merge branch 'balance' into integration 2016-09-27 10:53:56 -06:00
f9677e6d7b released version of weighted balancing 2016-09-27 10:52:27 -06:00
2ae966c26f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15657 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 16:49:51 +00:00
d1b8ffd924 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15656 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 16:49:48 +00:00
b66039b8bb git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15653 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 16:43:18 +00:00
995ecea5ed git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15652 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 16:02:08 +00:00
43633180eb git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15651 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 15:08:34 +00:00
b68e954761 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15650 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 15:06:58 +00:00
2b88050a1f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15649 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 15:06:14 +00:00
063307c71c git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15648 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-27 15:05:29 +00:00
f280bd32a6 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15647 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-26 23:34:26 +00:00
53eac4431d git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15646 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-26 23:32:16 +00:00
a3277117e2 Add filter which merges preformatted sections 2016-09-26 18:52:43 -04:00
67d4c07689 Do not escape underscore inside preformat blocks 2016-09-26 18:52:31 -04:00
877a504933 Fix typo in Section_howto.txt 2016-09-26 18:44:25 -04:00
8a951f9d79 fix typo 2016-09-26 18:43:03 -04:00
69a8842ecb update load balance weights documentation for fix balance and balance 2016-09-26 18:33:50 -04:00
2af5c75f42 correct issue from merge 2016-09-26 18:32:01 -04:00
158599fca2 Merge branch 'balance2' into weighted-balancing 2016-09-26 18:25:36 -04:00
7732548b3c correct issues related to the addition of fix cmap 2016-09-26 18:14:32 -04:00
2c5f6e1a99 fix a broken link that slipped through the cracks in the previous cleanup 2016-09-26 18:13:18 -04:00
d0aa13b543 Fix broken link in Section_packages.txt 2016-09-26 16:53:18 -04:00
c31b026797 Merge branch 'integration' into weighted-balancing 2016-09-26 15:20:22 -04:00
47b52ed2dd Merge branch 'integration' into balance2 2016-09-26 15:19:48 -04:00
fb64ae612f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15645 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-26 16:23:53 +00:00
c87f9aeb9f Merge remote-tracking branch 'akohlmey/integration' into ipython-update-and-cleanup 2016-09-26 11:59:30 -04:00
5769c10189 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15643 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-26 14:39:43 +00:00
7453a4f55f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15642 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-26 14:39:40 +00:00
50d59454d2 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15640 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-23 23:06:49 +00:00
24ff008a0f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15639 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-23 23:06:44 +00:00
da480bd4d4 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15638 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-23 23:00:00 +00:00
8a6e5ed3ce git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15637 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-23 22:59:43 +00:00
756cac0f60 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15636 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-23 22:59:35 +00:00
8662662afe fix ti/spring
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15635 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-23 21:14:00 +00:00
f718c54430 sync with GH
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15634 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-23 21:04:56 +00:00
08f0bf9025 new verion of balance weighting 2016-09-23 14:37:53 -06:00
2a30b76277 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15633 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-23 16:49:40 +00:00
31e41707e0 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15632 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-22 15:46:03 +00:00
32cec47ffb git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15631 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-22 15:45:27 +00:00
c22df8db57 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15630 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-22 14:05:57 +00:00
d0bbf3fb97 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15629 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-22 02:22:08 +00:00
32872a7b35 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15628 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-22 02:22:05 +00:00
6dd4480482 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15626 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 22:31:49 +00:00
26e16ed968 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15625 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 22:31:45 +00:00
ca5ad04b01 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15624 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 22:15:17 +00:00
0329aaaf72 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15623 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 22:14:06 +00:00
fc434b36b3 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15622 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 21:29:19 +00:00
a1364adce1 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15621 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 21:26:00 +00:00
c382759406 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15620 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 21:25:55 +00:00
e7fb82a645 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15619 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 21:22:57 +00:00
03c5ce601b git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15618 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 21:22:32 +00:00
d7c6f57fe4 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15617 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 20:50:23 +00:00
0bcd90195d git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15616 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 20:38:57 +00:00
d3406df6a0 Updated instructions in IPython notebooks
Make.py is now used to enable exceptions support
2016-09-21 12:07:59 -04:00
72c5792230 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15615 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 15:40:42 +00:00
a4c8c9b1f9 Strip IPython notebooks of output 2016-09-21 11:35:00 -04:00
f1183cb97c Remove old copies of IPython notebooks 2016-09-21 11:28:15 -04:00
71f7dde12a git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15614 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-21 15:26:31 +00:00
f8c8434c44 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15613 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 22:39:20 +00:00
3eee584956 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15612 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 18:08:38 +00:00
26b9b955a9 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15611 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 18:04:18 +00:00
fe73c3e4e3 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15610 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 17:25:49 +00:00
8944d48bd1 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15608 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:36:15 +00:00
f86bd1fceb git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15607 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:35:30 +00:00
f1d3637b03 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15605 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:26:57 +00:00
ce3676677e git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15604 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:21:39 +00:00
f81f0da734 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15603 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:20:45 +00:00
ed9f13663b git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15602 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:20:28 +00:00
4f941abdfd git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15601 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:19:25 +00:00
af4a42345f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15600 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:14:15 +00:00
df0ed58bbd git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15599 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:12:56 +00:00
8b80d0cf9a git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15598 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-20 16:09:43 +00:00
558303072d sync with GH
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15597 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-20 14:52:43 +00:00
900c83960e git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15595 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-18 00:06:34 +00:00
484122b8b6 sync with GH
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15592 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-16 19:21:34 +00:00
ed532358ad git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15591 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-16 16:29:55 +00:00
5336ec0735 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15590 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-16 16:26:52 +00:00
7d77aea42d git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15589 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-16 16:24:05 +00:00
6fd60f50ad git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15588 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-16 16:20:06 +00:00
54b2f3c970 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15583 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-15 21:02:02 +00:00
e14eab610e git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15582 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-15 21:01:16 +00:00
2049fa7380 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15581 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-15 17:18:05 +00:00
cf33c0e7fb git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15580 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-15 16:59:28 +00:00
b23e9f0d54 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15579 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-14 19:29:22 +00:00
40b68820d9 update html docs to be used with latest version of converter tools 2016-09-14 14:06:25 -04:00
90e22a7909 Merge branch 'integration' into weighted-balancing 2016-09-14 14:04:02 -04:00
b29782d5ab git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15577 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-14 15:33:37 +00:00
0f6d21acda sync with Git
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15576 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-14 15:27:51 +00:00
206f4e18a6 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15573 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-13 23:06:23 +00:00
b3fa20718f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15572 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-13 23:05:03 +00:00
9d0e853925 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15571 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-13 22:58:33 +00:00
babaa839b0 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15570 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-13 22:55:40 +00:00
9f3118341a git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15569 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-13 21:00:30 +00:00
342421babb git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15568 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-13 20:43:30 +00:00
423052134b git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15567 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-13 20:43:17 +00:00
fd5363fb6e git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15566 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-13 20:42:47 +00:00
d913f5e094 Fixing Kokkos bugs
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15565 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-12 21:09:35 +00:00
a8d7ca367d git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15564 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-10 20:19:52 +00:00
99d5bf89bc git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15563 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-10 19:48:18 +00:00
1dd7a13d82 sync with GH
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2016-09-08 20:37:31 +00:00
b190abea39 sync with GH
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15561 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-08 20:20:32 +00:00
06b7d56e16 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15560 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-07 17:17:53 +00:00
ee4a1f0452 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15559 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-07 16:12:51 +00:00
d3694613fd git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15558 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-07 15:49:34 +00:00
bf0c18a0f2 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15557 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 23:19:15 +00:00
39be4185c4 Updating Kokkos lib
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15556 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-06 23:06:32 +00:00
1ad033ec0c Updating Kokkos lib
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15555 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-06 23:02:50 +00:00
f67a9722ea git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15554 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 23:01:25 +00:00
06bac161ae git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15553 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 22:58:43 +00:00
5277242cfe GH changes to doc pages
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15552 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-06 22:56:36 +00:00
83f139642e Reverting optimizations that hurt performance on some compilers
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15551 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-06 22:09:41 +00:00
5568320bd6 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15549 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 22:05:53 +00:00
74d0bc4df6 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15548 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 22:05:14 +00:00
56945a56aa git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15547 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 21:55:39 +00:00
f9c106897f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15545 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 16:53:15 +00:00
626ae8d85c git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15544 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 16:52:36 +00:00
4282107e5d git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15543 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 16:39:57 +00:00
1e11d2d923 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15541 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 16:38:58 +00:00
c21cf0364f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15540 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-09-06 16:33:48 +00:00
688b1f1efc Fixing bug in Kokkos ReaxFF
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15539 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-06 14:06:59 +00:00
fc80281fd9 Fixing bugs in per-atom
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15538 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-02 22:45:29 +00:00
519a3ee242 Adding Kokkos version of PPPM
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15537 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-01 21:45:00 +00:00
a4914bc9d8 Adding Kokkos version of PPPM
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15536 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-01 21:01:23 +00:00
b4785cd038 Adding Kokkos version of PPPM
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15535 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-01 20:53:40 +00:00
0f7873c0b8 Merge branch 'integration' into weighted-balancing 2016-09-01 08:26:08 -04:00
3769f9077f chunk doc pages
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15534 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-01 01:58:35 +00:00
159d722cc2 removing searchindex.js
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15533 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-09-01 01:55:31 +00:00
f94bbc0de0 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15532 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-31 22:21:11 +00:00
fab2f01a58 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15531 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-31 22:20:28 +00:00
ae458497bf git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15530 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-31 21:11:34 +00:00
bcb2e6dd38 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15529 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-31 21:10:51 +00:00
93c6c26b83 sync with Git
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15528 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-31 21:08:32 +00:00
eac7217720 Merge remote-tracking branch 'lammps-rw/integration' into weighted-balancing 2016-08-31 16:34:51 -04:00
083ff54c0c small bug fixes
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15527 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-31 20:26:15 +00:00
e3d0a32272 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15526 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-31 20:10:32 +00:00
93401a83c6 reintroduce pointer nullification for fix balance 2016-08-31 15:58:33 -04:00
82859c4e25 Merge branch 'integration' into weighted-balancing 2016-08-31 15:57:02 -04:00
8f6439843d git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15525 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-31 19:25:40 +00:00
9d8027c900 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15524 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-31 19:25:08 +00:00
10edfa297b Merge branch 'integration' into weighted-balancing 2016-08-31 06:42:00 -04:00
76acb8caf1 Fixing Kokkos memory issue
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15523 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-30 23:18:07 +00:00
ba444a4c6b git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15522 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-30 19:33:56 +00:00
dbaaf4dbbd Removing aggressive_vectorization flag due to safety issue
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15521 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-30 17:52:49 +00:00
958e3e6a80 sync with Git
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15520 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-29 23:49:20 +00:00
2993aec312 sync with Git
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15519 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-29 22:52:03 +00:00
236241b100 sync with Git
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15518 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-27 23:09:15 +00:00
a62bae7d33 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15517 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-27 23:07:38 +00:00
57b24b5668 updated USER-MANIFOLD doc pages
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15516 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-27 23:07:03 +00:00
fc4e63130c git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15514 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-27 22:41:46 +00:00
0ec104088f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15513 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-27 22:41:05 +00:00
4f49acf903 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15511 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-27 22:40:37 +00:00
5714890627 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15510 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-27 22:40:11 +00:00
18d05e04a2 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15509 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-27 22:37:35 +00:00
90e6032f97 new fix flow/gauss command
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15508 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-27 22:18:45 +00:00
646d5bb1b9 Added check for undefined hbonds
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15507 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-26 20:03:55 +00:00
5348c1c70f Adding Kokkos warning
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15506 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-26 18:37:44 +00:00
56628fe2b6 Adding Kokkos warning
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15505 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-26 18:17:16 +00:00
8a7fecbd91 Cleaning up code
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15504 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-26 16:32:11 +00:00
cc4b2dd6ed Changing default
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15503 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-26 15:50:25 +00:00
3366136493 Fixing Kokkos memory issue
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15502 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-26 15:43:13 +00:00
b2470fd80d git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15501 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-25 17:19:46 +00:00
484e726c78 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15500 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-25 17:15:22 +00:00
67958a8bfa git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15499 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-25 17:03:56 +00:00
bfb01b84e6 Fixing compiler warning
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15498 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-25 16:59:45 +00:00
e96ac8eb59 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15497 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-25 16:55:30 +00:00
29d04c1fbb git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15496 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-24 20:31:41 +00:00
a411023a75 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15495 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-24 20:25:54 +00:00
647ffab74f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15493 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-23 22:45:54 +00:00
662335db13 git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15492 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-23 22:44:48 +00:00
1e1f68c30d git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15491 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-23 22:41:41 +00:00
7646321bfb git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15490 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-23 22:21:04 +00:00
7bf1d9b40f git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15489 f3b2605a-c512-4ea7-a41b-209d697bcdaa 2016-08-23 22:17:44 +00:00
d007faca51 Fixing Kokkos output for number of OpenMP threads
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15488 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-23 16:07:26 +00:00
89fc866ba7 Fixing bug on Macs
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@15487 f3b2605a-c512-4ea7-a41b-209d697bcdaa
2016-08-23 15:45:00 +00:00
74b1caf2e6 undo changes that belong to a different branch or are redundant 2016-08-22 15:46:01 -04:00
243137d552 undo obsoleted changes to group command by iain bethune 2016-08-22 15:23:16 -04:00
40fd97bd4c silence warnings about cases, that cannot happen
(cherry picked from commit 60bf26bad9)
2016-08-22 15:12:24 -04:00
8492212c4b fix bug found by coverity scan
(cherry picked from commit 63b41cb139)
2016-08-22 15:12:24 -04:00
1976314f40 improve the weight assignment algorithm for compute time based balancing
(cherry picked from commit 2b052c2a9c)
2016-08-22 15:12:23 -04:00
17c1d3a941 Fix typo
(cherry picked from commit 3b8ecd5c06)
2016-08-22 15:12:23 -04:00
fec59ee3b9 update documentation for refactored load-balancing
(cherry picked from commit 7abc061bf7)
2016-08-22 15:12:23 -04:00
33a98d79fe remove upper limit for weigh factor on neighbor list and time weights
(cherry picked from commit 797c6dc2dd)
2016-08-22 15:12:23 -04:00
0902b600fb add new imbalance module store, which allows to store weights in an atom property
(cherry picked from commit 5405622f3b)
2016-08-22 15:12:23 -04:00
7f20afe122 convert from using fix property/atom to using fix store
(cherry picked from commit 280aef55d2)
2016-08-22 15:12:22 -04:00
7e0dc7a74d whitespace cleanup
(cherry picked from commit b3bd35c7be)
2016-08-22 15:12:22 -04:00
b954283ec2 properly handle the case of neighbor lists never been computed before
(cherry picked from commit fcba14a0aa)
2016-08-22 15:12:22 -04:00
ecc136b6dc plug small memory leak
(cherry picked from commit c00aa3c600)
2016-08-22 15:12:22 -04:00
4a536d71eb simplify and correct logic to pass weight to balancer algorithms
(cherry picked from commit 529417f86c)
2016-08-22 15:12:22 -04:00
460bc14822 correct string hanlding with building custom property label
(cherry picked from commit 6a519e5eef)
2016-08-22 15:12:21 -04:00
bb40f63a34 we cannot add a fix while creating a fix. move fix addintion to Fix::init()
(cherry picked from commit 4c26534245)
2016-08-22 15:12:21 -04:00
c6699e19e6 rewrote balancing to use per-atom data stored via fix property/atom
(cherry picked from commit 1da862b440)
2016-08-22 15:12:21 -04:00
2574891160 fix optional argument scanning bug
(cherry picked from commit 2a90afe7e9)
2016-08-22 15:12:21 -04:00
332d6821ca remove unused class member
(cherry picked from commit f884bb2c92)
2016-08-22 15:12:20 -04:00
b20108bddb incorporate refactored weighting into fix balance
(cherry picked from commit 71ef6fb4d9)
2016-08-22 15:12:20 -04:00
8d38db07c7 convert weight array from class member to local pointer to temporary storage
(cherry picked from commit ecbbdc2e7f)
2016-08-22 15:12:20 -04:00
4114bafc28 proof-of-concept implementation for neighbor list based balancing with yet unsolved problems
(cherry picked from commit d40de42af8)
2016-08-22 15:12:20 -04:00
23a48916d7 re-factored balance command now works with group and time weights
(cherry picked from commit 3f674e5062)
2016-08-22 15:12:20 -04:00
34b34d8410 complete implementation for group based imbalance class
(cherry picked from commit 8ff0085cba)
2016-08-22 15:12:19 -04:00
a5d38c0875 prototype implementation for extensible imbalance scheme
(cherry picked from commit 362a26a3de)
2016-08-22 15:12:19 -04:00
eb273ab9ea fix elusive uninitialized data bug reported by valgrind
(cherry picked from commit b44492ee05)
2016-08-22 15:12:19 -04:00
3cf6715d40 be a bit more paranoid about initializing data structures
(cherry picked from commit bda51f2bac)
2016-08-22 15:12:19 -04:00
0b0db201d1 make it so that dynamic load balancing only uses the timing since the last balancing
(cherry picked from commit f758a4f4d0)
2016-08-22 15:12:18 -04:00
f76f2c881b minor tweaks and comment fixes
(cherry picked from commit f14e9cee83)
2016-08-22 15:12:18 -04:00
7d08d9991e improve c++-11 compliance. replace variable size stack allocation.
(cherry picked from commit af224028a9)
2016-08-22 15:12:18 -04:00
85cafde77c whitespace cleanup
(cherry picked from commit 2e0b9cae29)
2016-08-22 15:12:18 -04:00
db734c3003 disable debug output and include bond cost as well
(cherry picked from commit 9ea86965c5)
2016-08-22 15:12:18 -04:00
cc77679851 implement wall clock based load balancing cost function support
(cherry picked from commit 2a57dc6db4)
2016-08-22 15:12:17 -04:00
b8ae885de8 update documentation according to the modified implementation based on iain bethune's contributed code
(cherry picked from commit 76b8bbca8e)
2016-08-22 15:12:17 -04:00
66b4c9b847 implement modified version of balance and fix balance according to steve's suggestions and requirements
(cherry picked from commit 5a81288329)
2016-08-22 15:12:17 -04:00
85f58624a7 Comments
(cherry picked from commit 638fb5c119)
2016-08-22 15:12:17 -04:00
fc6270e590 Docs for load balance changes
(cherry picked from commit fc7afc2242)
2016-08-22 15:12:17 -04:00
f784f07b87 Set up branch with load balancing code from master
(cherry picked from commit fd8794f52a)
2016-08-22 15:12:16 -04:00
207 changed files with 36993 additions and 11792 deletions

View File

@ -1,10 +1,46 @@
Generation of LAMMPS Documentation
LAMMPS Documentation
Depending on how you obtained LAMMPS, this directory has 2 or 3
sub-directories and optionally 2 PDF files:
src content files for LAMMPS documentation
html HTML version of the LAMMPS manual (see html/Manual.html)
tools tools and settings for building the documentation
Manual.pdf large PDF version of entire manual
Developer.pdf small PDF with info about how LAMMPS is structured
If you downloaded LAMMPS as a tarball from the web site, all these
directories and files should be included.
If you downloaded LAMMPS from the public SVN or Git repositories, then
the HTML and PDF files are not included. Instead you need to create
them, in one of three ways:
(a) You can "fetch" the current HTML and PDF files from the LAMMPS web
site. Just type "make fetch". This should create a html_www dir and
Manual_www.pdf/Developer_www.pdf files. Note that if new LAMMPS
features have been added more recently than the date of your version,
the fetched documentation will include those changes (but your source
code will not, unless you update your local repository).
(b) You can build the HTML and PDF files yourself, by typing "make
html" followed by "make pdf". Note that the PDF make requires the
HTML files already exist. This requires various tools including
Sphinx, which the build process will attempt to download and install
on your system, if not already available. See more details below.
(c) You can genererate an older, simpler, less-fancy style of HTML
documentation by typing "make old". This will create an "old"
directory. This can be useful if (b) does not work on your box for
some reason, or you want to quickly view the HTML version of a doc
page you have created or edited yourself within the src directory.
E.g. if you are planning to submit a new feature to LAMMPS.
----------------
The generation of all documentation is managed by the Makefile in this
dir.
----------------
Options:
make html # generate HTML in html dir using Sphinx
@ -51,3 +87,10 @@ Once Python 3 is installed, open a Terminal and type
pip3 install virtualenv
This will install virtualenv from the Python Package Index.
----------------
Installing prerequisites for PDF build

View File

@ -1,7 +1,7 @@
<!-- HTML_ONLY -->
<HEAD>
<TITLE>LAMMPS Users Manual</TITLE>
<META NAME="docnumber" CONTENT="26 Sep 2016 version">
<META NAME="docnumber" CONTENT="5 Oct 2016 version">
<META NAME="author" CONTENT="http://lammps.sandia.gov - Sandia National Laboratories">
<META NAME="copyright" CONTENT="Copyright (2003) Sandia Corporation. This software and manual is distributed under the GNU General Public License.">
</HEAD>
@ -21,7 +21,7 @@
<H1></H1>
LAMMPS Documentation :c,h3
26 Sep 2016 version :c,h4
5 Oct 2016 version :c,h4
Version info: :h4

View File

@ -896,7 +896,7 @@ KOKKOS, o = USER-OMP, t = OPT.
"lubricate/poly (o)"_pair_lubricate.html,
"lubricateU"_pair_lubricateU.html,
"lubricateU/poly"_pair_lubricateU.html,
"meam (o)"_pair_meam.html,
"meam"_pair_meam.html,
"mie/cut (o)"_pair_mie.html,
"morse (got)"_pair_morse.html,
"nb3b/harmonic (o)"_pair_nb3b_harmonic.html,
@ -956,7 +956,7 @@ package"_Section_start.html#start_3.
"lj/sdk/coul/long (go)"_pair_sdk.html,
"lj/sdk/coul/msm (o)"_pair_sdk.html,
"lj/sf (o)"_pair_lj_sf.html,
"meam/spline"_pair_meam_spline.html,
"meam/spline (o)"_pair_meam_spline.html,
"meam/sw/spline"_pair_meam_sw_spline.html,
"mgpt"_pair_mgpt.html,
"morse/smooth/linear"_pair_morse.html,

View File

@ -2123,7 +2123,7 @@ thermo_style custom step temp press v_pxy v_pxz v_pyz v_v11 v_v22 v_v33
run 100000
variable v equal (v_v11+v_v22+v_v33)/3.0
variable ndens equal count(all)/vol
print "average viscosity: $v \[Pa.s/] @ $T K, $\{ndens\} /A^3" :pre
print "average viscosity: $v \[Pa.s\] @ $T K, $\{ndens\} /A^3" :pre
The fifth method is related to the above Green-Kubo method,
but uses the Einstein formulation, analogous to the Einstein

View File

@ -845,7 +845,7 @@ PYTHON package :link(PYTHON),h5
Contents: A "python"_python.html command which allow you to execute
Python code from a LAMMPS input script. The code can be in a separate
file or embedded in the input script itself. See "Section
11.2"_Section_python.html#py-2 for an overview of using Python from
11.2"_Section_python.html#py_2 for an overview of using Python from
LAMMPS and for other ways to use LAMMPS and Python together.
Building with the PYTHON package assumes you have a Python shared

View File

@ -10,7 +10,7 @@ balance command :h3
[Syntax:]
balance thresh style args ... keyword value ... :pre
balance thresh style args ... keyword args ... :pre
thresh = imbalance threshhold that must be exceeded to perform a re-balance :ulb,l
one style/arg pair can be used (or multiple for {x},{y},{z}) :l
@ -32,9 +32,23 @@ style = {x} or {y} or {z} or {shift} or {rcb} :l
Niter = # of times to iterate within each dimension of dimstr sequence
stopthresh = stop balancing when this imbalance threshhold is reached
{rcb} args = none :pre
zero or more keyword/value pairs may be appended :l
keyword = {out} :l
{out} value = filename
zero or more keyword/arg pairs may be appended :l
keyword = {weight} or {out} :l
{weight} style args = use weighted particle counts for the balancing
{style} = {group} or {neigh} or {time} or {var} or {store}
{group} args = Ngroup group1 weight1 group2 weight2 ...
Ngroup = number of groups with assigned weights
group1, group2, ... = group IDs
weight1, weight2, ... = corresponding weight factors
{neigh} factor = compute weight based on number of neighbors
factor = scaling factor (> 0)
{time} factor = compute weight based on time spend computing
factor = scaling factor (> 0)
{var} name = take weight from atom-style variable
name = name of the atom-style variable
{store} name = store weight in custom atom property defined by "fix property/atom"_fix_property_atom.html command
name = atom property name (without d_ prefix)
{out} arg = filename
filename = write each processor's sub-domain to a file :pre
:ule
@ -44,28 +58,42 @@ balance 0.9 x uniform y 0.4 0.5 0.6
balance 1.2 shift xz 5 1.1
balance 1.0 shift xz 5 1.1
balance 1.1 rcb
balance 1.0 shift x 10 1.1 weight group 2 fast 0.5 slow 2.0
balance 1.0 shift x 10 1.1 weight time 0.8 weight neigh 0.5 weight store balance
balance 1.0 shift x 20 1.0 out tmp.balance :pre
[Description:]
This command adjusts the size and shape of processor sub-domains
within the simulation box, to attempt to balance the number of
particles and thus the computational cost (load) evenly across
processors. The load balancing is "static" in the sense that this
command performs the balancing once, before or between simulations.
The processor sub-domains will then remain static during the
subsequent run. To perform "dynamic" balancing, see the "fix
within the simulation box, to attempt to balance the number of atoms
or particles and thus indirectly the computational cost (load) more
evenly across processors. The load balancing is "static" in the sense
that this command performs the balancing once, before or between
simulations. The processor sub-domains will then remain static during
the subsequent run. To perform "dynamic" balancing, see the "fix
balance"_fix_balance.html command, which can adjust processor
sub-domain sizes and shapes on-the-fly during a "run"_run.html.
Load-balancing is typically only useful if the particles in the
simulation box have a spatially-varying density distribution. E.g. a
model of a vapor/liquid interface, or a solid with an irregular-shaped
geometry containing void regions. In this case, the LAMMPS default of
Load-balancing is typically most useful if the particles in the
simulation box have a spatially-varying density distribution or when
the computational cost varies signficantly between different
particles. E.g. a model of a vapor/liquid interface, or a solid with
an irregular-shaped geometry containing void regions, or "hybrid pair
style simulations"_pair_hybrid.html which combine pair styles with
different computational cost. In these cases, the LAMMPS default of
dividing the simulation box volume into a regular-spaced grid of 3d
bricks, with one equal-volume sub-domain per procesor, may assign very
different numbers of particles per processor. This can lead to poor
performance when the simulation is run in parallel.
bricks, with one equal-volume sub-domain per procesor, may assign
numbers of particles per processor in a way that the computational
effort varies significantly. This can lead to poor performance when
the simulation is run in parallel.
The balancing can be performed with or without per-particle weighting.
With no weighting, the balancing attempts to assign an equal number of
particles to each processor. With weighting, the balancing attempts
to assign an equal aggregate computational weight to each processor,
which typically inducces a diffrent number of atoms assigned to each
processor. Details on the various weighting options and examples for
how they can be used are "given below"_#weighted_balance.
Note that the "processors"_processors.html command allows some control
over how the box volume is split across processors. Specifically, for
@ -78,9 +106,9 @@ sub-domains will still have the same shape and same volume.
The requested load-balancing operation is only performed if the
current "imbalance factor" in particles owned by each processor
exceeds the specified {thresh} parameter. The imbalance factor is
defined as the maximum number of particles owned by any processor,
divided by the average number of particles per processor. Thus an
imbalance factor of 1.0 is perfect balance.
defined as the maximum number of particles (or weight) owned by any
processor, divided by the average number of particles (or weight) per
processor. Thus an imbalance factor of 1.0 is perfect balance.
As an example, for 10000 particles running on 10 processors, if the
most heavily loaded processor has 1200 particles, then the factor is
@ -108,7 +136,7 @@ defined above. But depending on the method a perfect balance (1.0)
may not be achieved. For example, "grid" methods (defined below) that
create a logical 3d grid cannot achieve perfect balance for many
irregular distributions of particles. Likewise, if a portion of the
system is a perfect lattice, e.g. the intiial system is generated by
system is a perfect lattice, e.g. the initial system is generated by
the "create_atoms"_create_atoms.html command, then "grid" methods may
be unable to achieve exact balance. This is because entire lattice
planes will be owned or not owned by a single processor.
@ -134,11 +162,11 @@ The {x}, {y}, {z}, and {shift} styles are "grid" methods which produce
a logical 3d grid of processors. They operate by changing the cutting
planes (or lines) between processors in 3d (or 2d), to adjust the
volume (area in 2d) assigned to each processor, as in the following 2d
diagram where processor sub-domains are shown and atoms are colored by
the processor that owns them. The leftmost diagram is the default
partitioning of the simulation box across processors (one sub-box for
each of 16 processors); the middle diagram is after a "grid" method
has been applied.
diagram where processor sub-domains are shown and particles are
colored by the processor that owns them. The leftmost diagram is the
default partitioning of the simulation box across processors (one
sub-box for each of 16 processors); the middle diagram is after a
"grid" method has been applied.
:image(JPG/balance_uniform_small.jpg,JPG/balance_uniform.jpg),image(JPG/balance_nonuniform_small.jpg,JPG/balance_nonuniform.jpg),image(JPG/balance_rcb_small.jpg,JPG/balance_rcb.jpg)
:c
@ -146,8 +174,8 @@ has been applied.
The {rcb} style is a "tiling" method which does not produce a logical
3d grid of processors. Rather it tiles the simulation domain with
rectangular sub-boxes of varying size and shape in an irregular
fashion so as to have equal numbers of particles in each sub-box, as
in the rightmost diagram above.
fashion so as to have equal numbers of particles (or weight) in each
sub-box, as in the rightmost diagram above.
The "grid" methods can be used with either of the
"comm_style"_comm_style.html command options, {brick} or {tiled}. The
@ -230,7 +258,7 @@ counts do not match the target value for the plane, the position of
the cut is adjusted to be halfway between a low and high bound. The
low and high bounds are adjusted on each iteration, using new count
information, so that they become closer together over time. Thus as
the recustion progresses, the count of particles on either side of the
the recursion progresses, the count of particles on either side of the
plane gets closer to the target value.
Once the rebalancing is complete and final processor sub-domains
@ -262,21 +290,155 @@ the longest dimension, leaving one new box on either side of the cut.
All the processors are also partitioned into 2 groups, half assigned
to the box on the lower side of the cut, and half to the box on the
upper side. (If the processor count is odd, one side gets an extra
processor.) The cut is positioned so that the number of atoms in the
lower box is exactly the number that the processors assigned to that
box should own for load balance to be perfect. This also makes load
balance for the upper box perfect. The positioning is done
iteratively, by a bisectioning method. Note that counting atoms on
either side of the cut requires communication between all processors
at each iteration.
processor.) The cut is positioned so that the number of particles in
the lower box is exactly the number that the processors assigned to
that box should own for load balance to be perfect. This also makes
load balance for the upper box perfect. The positioning is done
iteratively, by a bisectioning method. Note that counting particles
on either side of the cut requires communication between all
processors at each iteration.
That is the procedure for the first cut. Subsequent cuts are made
recursively, in exactly the same manner. The subset of processors
assigned to each box make a new cut in the longest dimension of that
box, splitting the box, the subset of processsors, and the atoms in
the box in two. The recursion continues until every processor is
assigned a sub-box of the entire simulation domain, and owns the atoms
in that sub-box.
box, splitting the box, the subset of processsors, and the particles
in the box in two. The recursion continues until every processor is
assigned a sub-box of the entire simulation domain, and owns the
particles in that sub-box.
:line
This sub-section describes how to perform weighted load balancing
using the {weight} keyword. :link(weighted_balance)
By default, all particles have a weight of 1.0, which means each
particle is assumed to require the same amount of computation during a
timestep. There are, however, scenarios where this is not a good
assumption. Measuring the computational cost for each particle
accurately would be impractical and slow down the computation.
Instead the {weight} keyword implements several ways to influence the
per-particle weights empirically by properties readily available or
using the user's knowledge of the system. Note that the absolute
value of the weights are not important; only their relative ratios
affect which particle is assigned to which processor. A particle with
a weight of 2.5 is assumed to require 5x more computational than a
particle with a weight of 0.5. For all the options below the weight
assigned to a particle must be a positive value; an error will be be
generated if a weight is <= 0.0.
Below is a list of possible weight options with a short description of
their usage and some example scenarios where they might be applicable.
It is possible to apply multiple weight flags and the weightings they
induce will be combined through multiplication. Most of the time,
however, it is sufficient to use just one method.
The {group} weight style assigns weight factors to specified
"groups"_group.html of particles. The {group} style keyword is
followed by the number of groups, then pairs of group IDs and the
corresponding weight factor. If a particle belongs to none of the
specified groups, its weight is not changed. If it belongs to
multiple groups, its weight is the product of the weight factors.
This weight style is useful in combination with pair style
"hybrid"_pair_hybrid.html, e.g. when combining a more costly manybody
potential with a fast pair-wise potential. It is also useful when
using "run_style respa"_run_style.html where some portions of the
system have many bonded interactions and others none. It assumes that
the computational cost for each group remains constant over time.
This is a purely empirical weighting, so a series test runs to tune
the assigned weight factors for optimal performance is recommended.
The {neigh} weight style assigns the same weight to each particle
owned by a processor based on the total count of neighbors in the
neighbor list owned by that processor. The motivation is that more
neighbors means a higher computational cost. The style does not use
neighbors per atom to assign a unique weight to each atom, because
that value can vary depending on how the neighbor list is built.
The {factor} setting is applied as an overall scale factor to the
{neigh} weights which allows adjustment of their impact on the
balancing operation. The specified {factor} value must be positive.
A value > 1.0 will increase the weights so that the ratio of max
weight to min weight increases by {factor}. A value < 1.0 will
decrease the weights so that the ratio of max weight to min weight
decreases by {factor}. In both cases the intermediate weight values
increase/decrease proportionally as well. A value = 1.0 has no effect
on the {neigh} weights. As a rule of thumb, we have found a {factor}
of about 0.8 often results in the best performance, since the number
of neighbors is likely to overestimate the ideal weight.
This weight style is useful for systems where there are different
cutoffs used for different pairs of interations, or the density
fluctuates, or a large number of particles are in the vicinity of a
wall, or a combination of these effects. If a simulation uses
multiple neighbor lists, this weight style will use the first suitable
neighbor list it finds. It will not request or compute a new list. A
warning will be issued if there is no suitable neighbor list available
or if it is not current, e.g. if the balance command is used before a
"run"_run.html or "minimize"_minimize.html command is used, in which
case the neighbor list may not yet have been built. In this case no
weights are computed. Inserting a "run 0 post no"_run.html command
before issuing the {balance} command, may be a workaround for this
case, as it will induce the neighbor list to be built.
The {time} weight style uses "timer data"_timer.html to estimate
weights. It assigns the same weight to each particle owned by a
processor based on the total computational time spent by that
processor. See details below on what time window is used. It uses
the same timing information as is used for the "MPI task timing
breakdown"_Section_start.html#start_8, namely, for sections {Pair},
{Bond}, {Kspace}, and {Neigh}. The time spent in those portions of
the timestep are measured for each MPI rank, summed, then divided by
the number of particles owned by that processor. I.e. the weight is
an effective CPU time/particle averaged over the particles on that
processor.
The {factor} setting is applied as an overall scale factor to the
{time} weights which allows adjustment of their impact on the
balancing operation. The specified {factor} value must be positive.
A value > 1.0 will increase the weights so that the ratio of max
weight to min weight increases by {factor}. A value < 1.0 will
decrease the weights so that the ratio of max weight to min weight
decreases by {factor}. In both cases the intermediate weight values
increase/decrease proportionally as well. A value = 1.0 has no effect
on the {time} weights. As a rule of thumb, effective values to use
are typicall between 0.5 and 1.2. Note that the timer quantities
mentioned above can be affected by communication which occurs in the
middle of the operations, e.g. pair styles with intermediate exchange
of data witin the force computation, and likewise for KSpace solves.
When using the {time} weight style with the {balance} command, the
timing data is taken from the preceding run command, i.e. the timings
are for the entire previous run. For the {fix balance} command the
timing data is for only the timesteps since the last balancing
operation was performed. If timing information for the required
sections is not available, e.g. at the beginning of a run, or when the
"timer"_timer.html command is set to either {loop} or {off}, a warning
is issued. In this case no weights are computed.
NOTE: The {time} weight style is the most generic option, and should
be tried first, unless the {group} style is easily applicable.
However, since the computed cost function is averaged over all
particles on a processor, the weights may not be highly accurate.
This style can also be effective as a secondary weight in combination
with either {group} or {neigh} to offset some of inaccuracies in
either of those heuristics.
The {var} weight style assigns per-particle weights by evaluating an
"atom-style variable"_variable.html specified by {name}. This is
provided as a more flexible alternative to the {group} weight style,
allowing definition of a more complex heuristics based on information
(global and per atom) available inside of LAMMPS. For example,
atom-style variables can reference the position of a particle, its
velocity, the volume of its Voronoi cell, etc.
The {store} weight style does not compute a weight factor. Instead it
stores the current accumulated weights in a custom per-atom property
specified by {name}. This must be a property defined as {d_name} via
the "fix property/atom"_fix_property_atom.html command. Note that
these custom per-atom properties can be output in a "dump"_dump.html
file, so this is a way to examine, debug, or visualize the
per-particle weights computed during the load-balancing operation.
:line
@ -342,6 +504,7 @@ appear in {dimstr} for the {shift} style.
[Related commands:]
"processors"_processors.html, "fix balance"_fix_balance.html
"group"_group.html, "processors"_processors.html,
"fix balance"_fix_balance.html
[Default:] none

View File

@ -49,8 +49,8 @@ keyword = {append} or {buffer} or {element} or {every} or {fileper} or {first} o
-N = sort per-atom lines in descending order by the Nth column
{thresh} args = attribute operation value
attribute = same attributes (x,fy,etotal,sxx,etc) used by dump custom style
operation = "<" or "<=" or ">" or ">=" or "==" or "!="
value = numeric value to compare to
operation = "<" or "<=" or ">" or ">=" or "==" or "!=" or "|^"
value = numeric value to compare to, or LAST
these 3 args can be replaced by the word "none" to turn off thresholding
{unwrap} arg = {yes} or {no} :pre
these keywords apply only to the {image} and {movie} "styles"_dump_image.html :l
@ -458,16 +458,59 @@ as well as memory, versus unsorted output.
The {thresh} keyword only applies to the dump {custom}, {cfg},
{image}, and {movie} styles. Multiple thresholds can be specified.
Specifying "none" turns off all threshold criteria. If thresholds are
Specifying {none} turns off all threshold criteria. If thresholds are
specified, only atoms whose attributes meet all the threshold criteria
are written to the dump file or included in the image. The possible
attributes that can be tested for are the same as those that can be
specified in the "dump custom"_dump.html command, with the exception
of the {element} attribute, since it is not a numeric value. Note
that different attributes can be output by the dump custom command
than are used as threshold criteria by the dump_modify command.
E.g. you can output the coordinates and stress of atoms whose energy
is above some threshold.
that a different attributes can be used than those output by the "dump
custom"_dump.html command. E.g. you can output the coordinates and
stress of atoms whose energy is above some threshold.
If an atom-style variable is used as the attribute, then it can
produce continuous numeric values or effective Boolean 0/1 values
which may be useful for the comparision operation. Boolean values can
be generated by variable formulas that use comparison or Boolean math
operators or special functions like gmask() and rmask() and grmask().
See the "variable"_variable.html command doc page for details.
NOTE: The LAST option, discussed below, is not yet implemented. It
will be soon.
The specified value must be a simple numeric value or the word LAST.
If LAST is used, it refers to the value of the attribute the last time
the dump command was invoked to produce a snapshot. This is a way to
only dump atoms whose attribute has changed (or not changed).
Three examples follow.
dump_modify ... thresh ix != LAST :pre
This will dump atoms which have crossed the periodic x boundary of the
simulation box since the last dump. (Note that atoms that crossed
once and then crossed back between the two dump timesteps would not be
included.)
region foo sphere 10 20 10 15
variable inregion atom rmask(foo)
dump_modify ... thresh v_inregion |^ LAST
This will dump atoms which crossed the boundary of the spherical
region since the last dump.
variable charge atom "(q > 0.5) || (q < -0.5)"
dump_modify ... thresh v_charge |^ LAST
This will dump atoms whose charge has changed from an absolute value
less than 1/2 to greater than 1/2 (or vice versa) since the last dump.
E.g. due to reactions and subsequent charge equilibration in a
reactive force field.
The choice of operations are the usual comparison operators. The XOR
operation (exclusive or) is also included as "|^". In this context,
XOR means that if either the attribute or value is 0.0 and the other
is non-zero, then the result is "true" and the threshold criterion is
met. Otherwise it is not met.
:line

View File

@ -10,7 +10,7 @@ fix balance command :h3
[Syntax:]
fix ID group-ID balance Nfreq thresh style args keyword value ... :pre
fix ID group-ID balance Nfreq thresh style args keyword args ... :pre
ID, group-ID are documented in "fix"_fix.html command :ulb,l
balance = style name of this fix command :l
@ -21,10 +21,24 @@ style = {shift} or {rcb} :l
dimstr = sequence of letters containing "x" or "y" or "z", each not more than once
Niter = # of times to iterate within each dimension of dimstr sequence
stopthresh = stop balancing when this imbalance threshhold is reached
rcb args = none :pre
zero or more keyword/value pairs may be appended :l
keyword = {out} :l
{out} value = filename
{rcb} args = none :pre
zero or more keyword/arg pairs may be appended :l
keyword = {weight} or {out} :l
{weight} style args = use weighted particle counts for the balancing
{style} = {group} or {neigh} or {time} or {var} or {store}
{group} args = Ngroup group1 weight1 group2 weight2 ...
Ngroup = number of groups with assigned weights
group1, group2, ... = group IDs
weight1, weight2, ... = corresponding weight factors
{neigh} factor = compute weight based on number of neighbors
factor = scaling factor (> 0)
{time} factor = compute weight based on time spend computing
factor = scaling factor (> 0)
{var} name = take weight from atom-style variable
name = name of the atom-style variable
{store} name = store weight in custom atom property defined by "fix property/atom"_fix_property_atom.html command
name = atom property name (without d_ prefix)
{out} arg = filename
filename = write each processor's sub-domain to a file, at each re-balancing :pre
:ule
@ -32,6 +46,9 @@ keyword = {out} :l
fix 2 all balance 1000 1.05 shift x 10 1.05
fix 2 all balance 100 0.9 shift xy 20 1.1 out tmp.balance
fix 2 all balance 100 0.9 shift xy 20 1.1 weight group 3 substrate 3.0 solvent 1.0 solute 0.8 out tmp.balance
fix 2 all balance 100 1.0 shift x 10 1.1 weight time 0.8
fix 2 all balance 100 1.0 shift xy 5 1.1 weight var myweight weight neigh 0.6 weight store allweight
fix 2 all balance 1000 1.1 rcb :pre
[Description:]
@ -44,14 +61,32 @@ rebalancing is performed periodically during the simulation. To
perform "static" balancing, before or between runs, see the
"balance"_balance.html command.
Load-balancing is typically only useful if the particles in the
simulation box have a spatially-varying density distribution. E.g. a
model of a vapor/liquid interface, or a solid with an irregular-shaped
geometry containing void regions. In this case, the LAMMPS default of
dividing the simulation box volume into a regular-spaced grid of 3d
bricks, with one equal-volume sub-domain per processor, may assign
very different numbers of particles per processor. This can lead to
poor performance when the simulation is run in parallel.
Load-balancing is typically most useful if the particles in the
simulation box have a spatially-varying density distribution or
where the computational cost varies signficantly between different
atoms. E.g. a model of a vapor/liquid interface, or a solid with
an irregular-shaped geometry containing void regions, or
"hybrid pair style simulations"_pair_hybrid.html which combine
pair styles with different computational cost. In these cases, the
LAMMPS default of dividing the simulation box volume into a
regular-spaced grid of 3d bricks, with one equal-volume sub-domain
per procesor, may assign numbers of particles per processor in a
way that the computational effort varies significantly. This can
lead to poor performance when the simulation is run in parallel.
The balancing can be performed with or without per-particle weighting.
With no weighting, the balancing attempts to assign an equal number of
particles to each processor. With weighting, the balancing attempts
to assign an equal aggregate computational weight to each processor,
which typically inducces a diffrent number of atoms assigned to each
processor.
NOTE: The weighting options listed above are documented with the
"balance"_balance.html command in "this section of the balance
command"_balance.html#weighted_balance doc page. That section
describes the various weighting options and gives a few examples of
how they can be used. The weighting options are the same for both the
fix balance and "balance"_balance.html commands.
Note that the "processors"_processors.html command allows some control
over how the box volume is split across processors. Specifically, for
@ -64,9 +99,9 @@ sub-domains will still have the same shape and same volume.
On a particular timestep, a load-balancing operation is only performed
if the current "imbalance factor" in particles owned by each processor
exceeds the specified {thresh} parameter. The imbalance factor is
defined as the maximum number of particles owned by any processor,
divided by the average number of particles per processor. Thus an
imbalance factor of 1.0 is perfect balance.
defined as the maximum number of particles (or weight) owned by any
processor, divided by the average number of particles (or weight) per
processor. Thus an imbalance factor of 1.0 is perfect balance.
As an example, for 10000 particles running on 10 processors, if the
most heavily loaded processor has 1200 particles, then the factor is
@ -117,8 +152,8 @@ applied.
The {rcb} style is a "tiling" method which does not produce a logical
3d grid of processors. Rather it tiles the simulation domain with
rectangular sub-boxes of varying size and shape in an irregular
fashion so as to have equal numbers of particles in each sub-box, as
in the rightmost diagram above.
fashion so as to have equal numbers of particles (or weight) in each
sub-box, as in the rightmost diagram above.
The "grid" methods can be used with either of the
"comm_style"_comm_style.html command options, {brick} or {tiled}. The
@ -139,12 +174,9 @@ from scratch.
:line
The {group-ID} is currently ignored. In the future it may be used to
determine what particles are considered for balancing. Normally it
would only makes sense to use the {all} group. But in some cases it
may be useful to balance on a subset of the particles, e.g. when
modeling large nanoparticles in a background of small solvent
particles.
The {group-ID} is ignored. However the impact of balancing on
different groups of atoms can be affected by using the {group} weight
style as described below.
The {Nfreq} setting determines how often a rebalance is performed. If
{Nfreq} > 0, then rebalancing will occur every {Nfreq} steps. Each
@ -225,7 +257,7 @@ than {Niter} and exit early.
The {rcb} style invokes a "tiled" method for balancing, as described
above. It performs a recursive coordinate bisectioning (RCB) of the
simulation domain. The basic idea is as follows.
simulation domain. The basic idea is as follows.
The simulation domain is cut into 2 boxes by an axis-aligned cut in
the longest dimension, leaving one new box on either side of the cut.
@ -250,10 +282,10 @@ in that sub-box.
:line
The {out} keyword writes a text file to the specified {filename} with
the results of each rebalancing operation. The file contains the
bounds of the sub-domain for each processor after the balancing
operation completes. The format of the file is compatible with the
The {out} keyword writes text to the specified {filename} with the
results of each rebalancing operation. The file contains the bounds
of the sub-domain for each processor after the balancing operation
completes. The format of the file is compatible with the
"Pizza.py"_pizza {mdump} tool which has support for manipulating and
visualizing mesh files. An example is shown here for a balancing by 4
processors for a 2d problem:
@ -321,8 +353,8 @@ values in the vector are as follows:
3 = imbalance factor right before the last rebalance was performed :ul
As explained above, the imbalance factor is the ratio of the maximum
number of particles on any processor to the average number of
particles per processor.
number of particles (or total weight) on any processor to the average
number of particles (or total weight) per processor.
These quantities can be accessed by various "output
commands"_Section_howto.html#howto_15. The scalar and vector values
@ -336,11 +368,11 @@ minimization"_minimize.html.
[Restrictions:]
For 2d simulations, a "z" cannot appear in {dimstr} for the {shift}
style.
For 2d simulations, the {z} style cannot be used. Nor can a "z"
appear in {dimstr} for the {shift} style.
[Related commands:]
"processors"_processors.html, "balance"_balance.html
"group"_group.html, "processors"_processors.html, "balance"_balance.html
[Default:] none

View File

@ -56,7 +56,7 @@ CMAP :pre
1 1 8 10 12 18 20
2 5 18 20 22 25 27
...
\[...\]
N 3 314 315 317 318 330 :pre
The first column is an index from 1 to N to enumerate the CMAP terms;
@ -66,7 +66,7 @@ remaining 5 columns are the atom IDs of the atoms in the two 4-atom
dihedrals that overlap to create the CMAP 5-body interaction. Note
that the "crossterm" and "CMAP" keywords for the header and body
sections match those specified in the read_data command following the
data file name; see the "read_data"_doc/read_data.html doc page for
data file name; see the "read_data"_read_data.html doc page for
more details.
A data file containing CMAP crossterms can be generated from a PDB
@ -124,9 +124,9 @@ LAMMPS"_Section_start.html#start_3 section for more info on packages.
:line
(Buck)
Buck, Bouguet-Bonnet, Pastor, MacKerell Jr., Biophys J, 90, L36
:link(Buck)
[(Buck)] Buck, Bouguet-Bonnet, Pastor, MacKerell Jr., Biophys J, 90, L36
(2006).
(Brooks)
Brooks, Brooks, MacKerell Jr., J Comput Chem, 30, 1545 (2009).
:link(Brooks)
[(Brooks)] Brooks, Brooks, MacKerell Jr., J Comput Chem, 30, 1545 (2009).

View File

@ -39,8 +39,8 @@ metadynamics, Steered Molecular Dynamics (SMD) and Umbrella Sampling
(US) via a flexible harmonic restraint bias. The colvars library is
hosted at "http://colvars.github.io/"_http://colvars.github.io/
This documentation describes only the fix colvars command itself and
LAMMPS specific parts of the code. The full documentation of the
This documentation describes only the fix colvars command itself and
LAMMPS specific parts of the code. The full documentation of the
colvars library is available as "this supplementary PDF document"_PDF/colvars-refman-lammps.pdf
A detailed discussion of the implementation of the portable collective
@ -122,7 +122,7 @@ not a limitation of functionality.
[Default:]
The default options are input = NULL, output = out, seed = 1966, unwrap yes,
The default options are input = NULL, output = out, seed = 1966, unwrap yes,
and tstat = NULL.
:line

View File

@ -24,6 +24,7 @@ Fixes :h1
fix_bond_create
fix_bond_swap
fix_box_relax
fix_cmap
fix_colvars
fix_controller
fix_deform

View File

@ -139,7 +139,7 @@ InP, myString, a123, ab_23_cd, etc :pre
and Boolean operators:
A == B, A != B, A < B, A <= B, A > B, A >= B, A && B, A || B, !A :pre
A == B, A != B, A < B, A <= B, A > B, A >= B, A && B, A || B, A |^ B, !A :pre
Each A and B is a number or string or a variable reference like $a or
$\{abc\}, or A or B can be another Boolean expression.
@ -155,9 +155,10 @@ precedence: the unary logical NOT operator "!" has the highest
precedence, the 4 relational operators "<", "<=", ">", and ">=" are
next; the two remaining relational operators "==" and "!=" are next;
then the logical AND operator "&&"; and finally the logical OR
operator "||" has the lowest precedence. Parenthesis can be used to
group one or more portions of an expression and/or enforce a different
order of evaluation than what would occur with the default precedence.
operator "||" and logical XOR (exclusive or) operator "|^" have the
lowest precedence. Parenthesis can be used to group one or more
portions of an expression and/or enforce a different order of
evaluation than what would occur with the default precedence.
When the 6 relational operators (first 6 in list above) compare 2
numbers, they return either a 1.0 or 0.0 depending on whether the
@ -171,9 +172,11 @@ relationship between A and B is TRUE or FALSE (or just A). The
logical AND operator will return 1.0 if both its arguments are
non-zero, else it returns 0.0. The logical OR operator will return
1.0 if either of its arguments is non-zero, else it returns 0.0. The
logical NOT operator returns 1.0 if its argument is 0.0, else it
returns 0.0. The 3 logical operators can only be used to operate on
numbers, not on strings.
logical XOR operator will return 1.0 if one of its arguments is zero
and the other non-zero, else it returns 0.0. The logical NOT operator
returns 1.0 if its argument is 0.0, else it returns 0.0. The 3
logical operators can only be used to operate on numbers, not on
strings.
The overall Boolean expression produces a TRUE result if the result is
non-zero. If the result is zero, the expression result is FALSE.

View File

@ -147,6 +147,7 @@ fix_bond_break.html
fix_bond_create.html
fix_bond_swap.html
fix_box_relax.html
fix_cmap.html
fix_colvars.html
fix_controller.html
fix_deform.html

View File

@ -48,17 +48,14 @@ follows the discussion in these 3 papers: "(HenkelmanA)"_#HenkelmanA,
Each replica runs on a partition of one or more processors. Processor
partitions are defined at run-time using the -partition command-line
switch; see "Section 2.7"_Section_start.html#start_7 of the
manual. Note that if you have MPI installed, you can run a
multi-replica simulation with more replicas (partitions) than you have
physical processors, e.g you can run a 10-replica simulation on just
one or two processors. You will simply not get the performance
speed-up you would see with one or more physical processors per
replica. See "this section"_Section_howto.html#howto_5 of the manual
for further discussion.
NOTE: The current NEB implementation in LAMMPS only allows there to be
one processor per replica.
switch; see "Section 2.7"_Section_start.html#start_7 of the manual.
Note that if you have MPI installed, you can run a multi-replica
simulation with more replicas (partitions) than you have physical
processors, e.g you can run a 10-replica simulation on just one or two
processors. You will simply not get the performance speed-up you
would see with one or more physical processors per replica. See
"Section 6.5"_Section_howto.html#howto_5 of the manual for further
discussion.
NOTE: As explained below, a NEB calculation perfoms a damped dynamics
minimization across all the replicas. The mimimizer uses whatever
@ -255,12 +252,6 @@ An atom map must be defined which it is not by default for "atom_style
atomic"_atom_style.html problems. The "atom_modify
map"_atom_modify.html command can be used to do this.
The "atom_modify sort 0 0.0" command should be used to turn off atom
sorting.
NOTE: This sorting restriction will be removed in a future version of
NEB in LAMMPS.
The minimizers in LAMMPS operate on all atoms in your system, even
non-NEB atoms, as defined above. To prevent non-NEB atoms from moving
during the minimization, you should use the "fix

View File

@ -63,14 +63,14 @@ event to occur.
Each replica runs on a partition of one or more processors. Processor
partitions are defined at run-time using the -partition command-line
switch; see "Section 2.7"_Section_start.html#start_7 of the
manual. Note that if you have MPI installed, you can run a
multi-replica simulation with more replicas (partitions) than you have
physical processors, e.g you can run a 10-replica simulation on one or
two processors. For PRD, this makes little sense, since this offers
no effective parallel speed-up in searching for infrequent events. See
"Section 6.5"_Section_howto.html#howto_5 of the manual for further
discussion.
switch; see "Section 2.7"_Section_start.html#start_7 of the manual.
Note that if you have MPI installed, you can run a multi-replica
simulation with more replicas (partitions) than you have physical
processors, e.g you can run a 10-replica simulation on one or two
processors. However for PRD, this makes little sense, since running a
replica on virtual instead of physical processors,offers no effective
parallel speed-up in searching for infrequent events. See "Section
6.5"_Section_howto.html#howto_5 of the manual for further discussion.
When a PRD simulation is performed, it is assumed that each replica is
running the same model, though LAMMPS does not check for this.
@ -163,7 +163,7 @@ runs for {N} timesteps. If the {time} value is {clock}, then the
simulation runs until {N} aggregate timesteps across all replicas have
elapsed. This aggregate time is the "clock" time defined below, which
typically advances nearly M times faster than the timestepping on a
single replica.
single replica, where M is the number of replicas.
:line
@ -183,25 +183,26 @@ coincident events, and the replica number of the chosen event.
The timestep is the usual LAMMPS timestep, except that time does not
advance during dephasing or quenches, but only during dynamics. Note
that are two kinds of dynamics in the PRD loop listed above. The
first is when all replicas are performing independent dynamics,
waiting for an event to occur. The second is when correlated events
are being searched for and only one replica is running dynamics.
that are two kinds of dynamics in the PRD loop listed above that
contribute to this timestepping. The first is when all replicas are
performing independent dynamics, waiting for an event to occur. The
second is when correlated events are being searched for, but only one
replica is running dynamics.
The CPU time is the total processor time since the start of the PRD
run.
The CPU time is the total elapsed time on each processor, since the
start of the PRD run.
The clock is the same as the timestep except that it advances by M
steps every timestep during the first kind of dynamics when the M
steps per timestep during the first kind of dynamics when the M
replicas are running independently. The clock advances by only 1 step
per timestep during the second kind of dynamics, since only a single
per timestep during the second kind of dynamics, when only a single
replica is checking for a correlated event. Thus "clock" time
represents the aggregate time (in steps) that effectively elapses
represents the aggregate time (in steps) that has effectively elapsed
during a PRD simulation on M replicas. If most of the PRD run is
spent in the second stage of the loop above, searching for infrequent
events, then the clock will advance nearly M times faster than it
would if a single replica was running. Note the clock time between
events will be drawn from p(t).
successive events should be drawn from p(t).
The event number is a counter that increments with each event, whether
it is uncorrelated or correlated.
@ -212,14 +213,15 @@ replicas are running independently. The correlation flag will be 1
when a correlated event occurs during the third stage of the loop
listed above, i.e. when only one replica is running dynamics.
When more than one replica detects an event at the end of the second
stage, then one of them is chosen at random. The number of coincident
events is the number of replicas that detected an event. Normally, we
expect this value to be 1. If it is often greater than 1, then either
the number of replicas is too large, or {t_event} is too large.
When more than one replica detects an event at the end of the same
event check (every {t_event} steps) during the the second stage, then
one of them is chosen at random. The number of coincident events is
the number of replicas that detected an event. Normally, this value
should be 1. If it is often greater than 1, then either the number of
replicas is too large, or {t_event} is too large.
The replica number is the ID of the replica (from 0 to M-1) that
found the event.
The replica number is the ID of the replica (from 0 to M-1) in which
the event occurred.
:line
@ -286,7 +288,7 @@ This command can only be used if LAMMPS was built with the REPLICA
package. See the "Making LAMMPS"_Section_start.html#start_3 section
for more info on packages.
{N} and {t_correlate} settings must be integer multiples of
The {N} and {t_correlate} settings must be integer multiples of
{t_event}.
Runs restarted from restart file written during a PRD run will not

View File

@ -47,7 +47,7 @@ style = {delete} or {index} or {loop} or {world} or {universe} or {uloop} or {st
constants = PI, version, on, off, true, false, yes, no
thermo keywords = vol, ke, press, etc from "thermo_style"_thermo_style.html
math operators = (), -x, x+y, x-y, x*y, x/y, x^y, x%y,
x == y, x != y, x < y, x <= y, x > y, x >= y, x && y, x || y, !x
x == y, x != y, x < y, x <= y, x > y, x >= y, x && y, x || y, x |^ y, !x
math functions = sqrt(x), exp(x), ln(x), log(x), abs(x),
sin(x), cos(x), tan(x), asin(x), acos(x), atan(x), atan2(y,x),
random(x,y,z), normal(x,y,z), ceil(x), floor(x), round(x)
@ -450,7 +450,7 @@ Number: 0.2, 100, 1.0e20, -15.4, etc
Constant: PI, version, on, off, true, false, yes, no
Thermo keywords: vol, pe, ebond, etc
Math operators: (), -x, x+y, x-y, x*y, x/y, x^y, x%y, \
x == y, x != y, x < y, x <= y, x > y, x >= y, x && y, x || y, !x
x == y, x != y, x < y, x <= y, x > y, x >= y, x && y, x || y, x |^ y, !x
Math functions: sqrt(x), exp(x), ln(x), log(x), abs(x), \
sin(x), cos(x), tan(x), asin(x), acos(x), atan(x), atan2(y,x), \
random(x,y,z), normal(x,y,z), ceil(x), floor(x), round(x), \
@ -551,9 +551,10 @@ division and the modulo operator "%" are next; addition and
subtraction are next; the 4 relational operators "<", "<=", ">", and
">=" are next; the two remaining relational operators "==" and "!="
are next; then the logical AND operator "&&"; and finally the logical
OR operator "||" has the lowest precedence. Parenthesis can be used
to group one or more portions of a formula and/or enforce a different
order of evaluation than what would occur with the default precedence.
OR operator "||" and logical XOR (exclusive or) operator "|^" have the
lowest precedence. Parenthesis can be used to group one or more
portions of a formula and/or enforce a different order of evaluation
than what would occur with the default precedence.
NOTE: Because a unary minus is higher precedence than exponentiation,
the formula "-2^2" will evaluate to 4, not -4. This convention is
@ -568,8 +569,10 @@ return 1.0 for all atoms whose x-coordinate is less than 10.0, and 0.0
for the others. The logical AND operator will return 1.0 if both its
arguments are non-zero, else it returns 0.0. The logical OR operator
will return 1.0 if either of its arguments is non-zero, else it
returns 0.0. The logical NOT operator returns 1.0 if its argument is
0.0, else it returns 0.0.
returns 0.0. The logical XOR operator will return 1.0 if one of its
arguments is zero and the other non-zero, else it returns 0.0. The
logical NOT operator returns 1.0 if its argument is 0.0, else it
returns 0.0.
These relational and logical operators can be used as a masking or
selection operation in a formula. For example, the number of atoms

View File

@ -90,3 +90,24 @@ def promote_doc_keywords(content):
def filter_multiple_horizontal_rules(content):
return re.sub(r"----------[\s\n]+----------", '', content)
def merge_preformatted_sections(content):
mergable_section_pattern = re.compile(r"\.\. parsed-literal::\n"
r"\n"
r"(?P<listingA>(( [^\n]+\n)|(^\n))+)\n\s*"
r"^\.\. parsed-literal::\n"
r"\n"
r"(?P<listingB>(( [^\n]+\n)|(^\n))+)\n", re.MULTILINE | re.DOTALL)
m = mergable_section_pattern.search(content)
while m:
content = mergable_section_pattern.sub(r".. parsed-literal::\n"
r"\n"
r"\g<listingA>"
r"\g<listingB>"
r"\n", content)
m = mergable_section_pattern.search(content)
return content

View File

@ -73,10 +73,13 @@ class RSTMarkup(Markup):
def unescape_rst_chars(self, text):
text = text.replace('\\*', '*')
text = text.replace('\\^', '^')
text = text.replace('\\_', '_')
text = self.unescape_underscore(text)
text = text.replace('\\|', '|')
return text
def unescape_underscore(self, text):
return text.replace('\\_', '_')
def inline_math(self, text):
start_pos = text.find("\\(")
end_pos = text.find("\\)")
@ -136,6 +139,7 @@ class RSTFormatting(Formatting):
return content.strip()
def preformat(self, content):
content = self.markup.unescape_underscore(content)
if self.indent_level > 0:
return self.list_indent("\n.. parsed-literal::\n\n" + self.indent(content.rstrip()), self.indent_level)
return "\n.. parsed-literal::\n\n" + self.indent(content.rstrip())
@ -355,6 +359,7 @@ class Txt2Rst(TxtParser):
self.document_filters.append(lammps_filters.detect_and_add_command_to_index)
self.document_filters.append(lammps_filters.filter_multiple_horizontal_rules)
self.document_filters.append(lammps_filters.promote_doc_keywords)
self.document_filters.append(lammps_filters.merge_preformatted_sections)
def is_ignored_textblock_begin(self, line):
return line.startswith('<!-- HTML_ONLY -->')

View File

@ -169,6 +169,13 @@ class TestFormatting(unittest.TestCase):
" Hello\n"
" World\n\n", s)
def test_preformat_formatting_with_underscore(self):
s = self.txt2rst.convert("if MPI.COMM_WORLD.rank == 0:\n"
" print(\"Potential energy: \", L.eval(\"pe\")) :pre\n")
self.assertEqual("\n.. parsed-literal::\n\n"
" if MPI.COMM_WORLD.rank == 0:\n"
" print(\"Potential energy: \", L.eval(\"pe\"))\n\n", s)
def test_header_formatting(self):
s = self.txt2rst.convert("Level 1 :h1\n"
"Level 2 :h2\n"

View File

@ -43,7 +43,7 @@ fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi $x 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi $y 1 1 2.5
comm_style tiled
comm_modify cutoff 7.5
comm_modify cutoff 10.0 # because bonds stretch a long ways
fix 10 all balance 50 0.9 rcb
#compute 1 all property/atom proc

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@ -0,0 +1,54 @@
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
lattice fcc 0.8442
region box block 0 10 0 10 0 10
create_box 3 box
create_atoms 1 box
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
fix p all property/atom d_WEIGHT
compute p all property/atom d_WEIGHT
fix 0 all balance 50 1.0 shift x 10 1.0 &
weight time 1.0 weight store WEIGHT
variable maximb equal f_0[1]
variable iter equal f_0[2]
variable prev equal f_0[3]
variable final equal f_0
#fix 3 all print 50 "${iter} ${prev} ${final} ${maximb}"
fix 1 all nve
#dump id all atom 50 dump.melt
#dump id all custom 50 dump.lammpstrj id type x y z c_p
#dump 2 all image 25 image.*.jpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 500
run 500
fix 0 all balance 50 1.0 shift x 5 1.0 &
weight neigh 0.5 weight time 0.66 weight store WEIGHT
run 500
run 500

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@ -0,0 +1,48 @@
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
variable factor index 1.0
lattice fcc 0.8442
region box block 0 10 0 10 0 10
create_box 3 box
create_atoms 1 box
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
group fast type 1
group slow type 2
balance 1.0 shift x 5 1.1 weight time 1.0 # out unweighted.txt
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250
balance 1.0 shift x 5 1.1 weight time 1.0 # out unweighted.txt
run 250
balance 1.0 shift x 5 1.1 weight time 1.0 # out unweighted.txt
run 250

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@ -0,0 +1,47 @@
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
variable factor index 1.0
lattice fcc 0.8442
region box block 0 10 0 10 0 10
create_box 3 box
create_atoms 1 box
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
group fast type 1
group slow type 2
balance 1.0 shift x 5 1.1 &
weight group 2 fast 1.0 slow ${factor} # out weighted.txt
fix 0 all balance 10 1.0 shift x 5 1.1 &
weight group 2 fast 1.0 slow ${factor}
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250

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@ -0,0 +1,54 @@
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
variable factor index 1.0
lattice fcc 0.8442
region box block 0 10 0 10 0 10
create_box 3 box
create_atoms 1 box
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
balance 1.0 shift x 5 1.1 # out unweighted.txt
balance 1.0 x uniform
variable weight atom (type==1)*1.0+(type==2)*v_factor
balance 1.0 shift x 5 1.1 weight var weight # out weighted_var.txt
balance 1.0 x uniform
group fast type 1
group slow type 2
balance 1.0 shift x 5 1.1 &
weight group 2 fast 1.0 slow ${factor} # out weighted_group.txt
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250

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@ -0,0 +1,47 @@
# 3d Lennard-Jones melt
units lj
#atom_style charge
processors * 1 1
lattice fcc 0.8442
region box block 0 10 0 10 0 10
create_box 3 box
create_atoms 1 box
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
#set type 1:2 charge 0.0
velocity all create 1.0 87287
pair_style lj/long/coul/long long off 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
kspace_style pppm/disp 1.0e-4
kspace_modify gewald/disp 0.1
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
group fast type 1
group slow type 2
fix 0 all balance 20 1.0 shift x 5 1.0 &
weight group 2 fast 1.0 slow 2.0 weight time 0.66
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 500

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@ -0,0 +1,53 @@
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
lattice fcc 0.8442
region box block 0 10 0 10 0 10
create_box 3 box
create_atoms 1 box
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
fix p all property/atom d_WEIGHT
fix 0 all balance 50 1.0 shift x 5 1.0 &
weight neigh 0.8 weight store WEIGHT
compute p all property/atom d_WEIGHT
variable maximb equal f_0[1]
variable iter equal f_0[2]
variable prev equal f_0[3]
variable final equal f_0
#fix 3 all print 50 "${iter} ${prev} ${final} ${maximb}"
fix 1 all nve
#dump id all atom 50 dump.melt
#dump id all custom 50 dump.lammpstrj id type x y z c_p
#dump 2 all image 25 image.*.jpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mp4 c_p type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3 amap 0.0 2.0 cf 0.1 3 min blue 0.5 green max red
thermo 50
run 500
run 500
run 500
run 500

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@ -0,0 +1,53 @@
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
lattice fcc 0.8442
region box block 0 10 0 10 0 10
create_box 3 box
create_atoms 1 box
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
comm_style tiled
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
fix p all property/atom d_WEIGHT
fix 0 all balance 50 1.0 rcb weight neigh 0.8 weight store WEIGHT
compute p all property/atom d_WEIGHT
variable maximb equal f_0[1]
variable iter equal f_0[2]
variable prev equal f_0[3]
variable final equal f_0
#fix 3 all print 50 "${iter} ${prev} ${final} ${maximb}"
fix 1 all nve
#dump id all atom 50 dump.melt
#dump id all custom 50 dump.lammpstrj id type x y z c_p
#dump 2 all image 25 image.*.jpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250
run 250

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@ -0,0 +1,51 @@
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
variable factor index 1.0
lattice fcc 0.8442
region box block 0 10 0 10 0 10
create_box 3 box
create_atoms 1 box
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
balance 1.0 shift x 10 1.0 weight neigh 0.8 # out weighted_var.txt
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250 post no
balance 1.0 shift x 10 1.0 weight neigh 0.8
run 250 post no
balance 1.0 shift x 10 1.0 weight neigh 0.8
run 250 post no
balance 1.0 shift x 10 1.0 weight neigh 0.8 weight time 0.6
run 250
balance 1.0 shift x 10 1.0 weight neigh 0.8 weight time 0.6
run 250

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@ -0,0 +1,66 @@
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
lattice fcc 0.8442
region box block 0 10 0 10 0 10
create_box 3 box
create_atoms 1 box
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
fix p all property/atom d_WEIGHT
compute p all property/atom d_WEIGHT
group fast type 1
group slow type 2
balance 1.0 shift x 10 1.0 &
weight group 2 fast 0.8 slow 2.5 weight store WEIGHT
variable lastweight atom c_p
fix 0 all balance 50 1.0 shift x 10 1.0 &
weight var lastweight weight time 0.5 weight store WEIGHT
variable maximb equal f_0[1]
variable iter equal f_0[2]
variable prev equal f_0[3]
variable final equal f_0
#fix 3 all print 50 "${iter} ${prev} ${final} ${maximb}"
fix 1 all nve
#dump id all atom 50 dump.melt
#dump id all custom 50 dump.lammpstrj id type x y z c_p
#dump 2 all image 25 image.*.jpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type &
# axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 500
run 500
balance 1.0 shift x 10 1.0 &
weight group 2 fast 0.8 slow 2.5 weight store WEIGHT
fix 0 all balance 50 1.0 shift x 5 1.0 &
weight var lastweight weight neigh 0.5 weight store WEIGHT
run 500
run 500

View File

@ -1,225 +0,0 @@
LAMMPS (15 Feb 2016)
# 2d circle of particles inside a box with LJ walls
variable b index 0
variable x index 50
variable y index 20
variable d index 20
variable v index 5
variable w index 2
units lj
dimension 2
atom_style bond
boundary f f p
lattice hex 0.85
Lattice spacing in x,y,z = 1.16553 2.01877 1.16553
region box block 0 $x 0 $y -0.5 0.5
region box block 0 50 0 $y -0.5 0.5
region box block 0 50 0 20 -0.5 0.5
create_box 1 box bond/types 1 extra/bond/per/atom 6
Created orthogonal box = (0 0 -0.582767) to (58.2767 40.3753 0.582767)
1 by 1 by 1 MPI processor grid
region circle sphere $(v_d/2+1) $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 10
create_atoms 1 region circle
Created 361 atoms
mass 1 1.0
velocity all create 0.5 87287 loop geom
velocity all set $v $w 0 sum yes
velocity all set 5 $w 0 sum yes
velocity all set 5 2 0 sum yes
pair_style lj/cut 2.5
pair_coeff 1 1 10.0 1.0 2.5
bond_style harmonic
bond_coeff 1 10.0 1.2
# need to preserve 1-3, 1-4 pairwise interactions during hard collisions
special_bonds lj/coul 0 1 1
0 = max # of 1-2 neighbors
1 = max # of special neighbors
create_bonds all all 1 1.0 1.5
Neighbor list info ...
2 neighbor list requests
update every 1 steps, delay 10 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 2.8
binsize = 1.4 -> bins = 42 29 1
Added 1014 bonds, new total = 1014
6 = max # of 1-2 neighbors
6 = max # of special neighbors
neighbor 0.3 bin
neigh_modify delay 0 every 1 check yes
fix 1 all nve
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi $x 1 1 2.5
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi 50 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi $y 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi 20 1 1 2.5
comm_style tiled
comm_modify cutoff 7.5
fix 10 all balance 50 0.9 rcb
#compute 1 all property/atom proc
#variable p atom (c_1%10)+1
#dump 2 all custom 50 tmp.dump id v_p x y z
#dump 3 all image 50 image.*.jpg v_p type bond atom 0.25 # adiam 1.0 view 0 0 zoom 1.8 subbox yes 0.02
#variable colors string # "red green blue yellow white # purple pink orange lime gray"
#dump_modify 3 pad 5 amap 0 10 sa 1 10 ${colors}
thermo_style custom step temp epair press f_10[3] f_10
thermo 100
run 10000
Neighbor list info ...
1 neighbor list requests
update every 1 steps, delay 0 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 7.5
binsize = 1.4 -> bins = 42 29 1
Memory usage per processor = 4.44301 Mbytes
Step Temp E_pair Press 10[3] 10
0 25.701528 -2.2032569 3.1039469 1 1
100 27.623422 -6.228166 2.6542136 1 1
200 33.35302 -15.746749 3.2018248 1 1
300 39.17734 -24.1557 4.9116986 1 1
400 41.660701 -27.615203 8.6214678 1 1
500 37.154935 -24.096962 3.2656162 1 1
600 35.061294 -21.52655 2.3693223 1 1
700 37.204395 -22.313267 2.7108913 1 1
800 39.050704 -24.972147 5.5398741 1 1
900 38.37275 -24.777769 3.9291488 1 1
1000 39.147816 -26.003699 4.3586203 1 1
1100 36.084337 -24.88638 4.5496174 1 1
1200 32.404559 -20.810803 6.0760128 1 1
1300 32.625538 -19.709411 4.3718289 1 1
1400 32.246777 -18.785184 3.435959 1 1
1500 29.174368 -17.434726 2.2702916 1 1
1600 27.359273 -15.40756 1.033659 1 1
1700 26.046626 -14.318045 0.87714473 1 1
1800 24.540401 -13.017686 0.84464169 1 1
1900 26.259688 -12.777739 0.80954004 1 1
2000 27.491023 -13.363863 1.4519188 1 1
2100 27.839831 -13.709118 3.0184763 1 1
2200 26.669065 -12.710422 1.4560094 1 1
2300 26.86742 -12.730386 0.16986139 1 1
2400 26.375504 -12.476682 1.907352 1 1
2500 26.581263 -12.530908 1.5507765 1 1
2600 27.67091 -12.922702 2.0391206 1 1
2700 27.158784 -13.306789 3.7355268 1 1
2800 25.635671 -13.502047 2.9431633 1 1
2900 24.648357 -12.388002 0.44910075 1 1
3000 22.988768 -10.685349 0.37214853 1 1
3100 21.788719 -10.171928 -0.95734833 1 1
3200 22.707514 -9.6682633 -0.32868418 1 1
3300 22.907772 -10.612766 -0.024319089 1 1
3400 24.276426 -10.802246 0.44731188 1 1
3500 25.086959 -10.797849 2.3218091 1 1
3600 26.064365 -12.589537 1.2460738 1 1
3700 24.656426 -11.956895 0.57862216 1 1
3800 22.316856 -11.174148 -0.7567936 1 1
3900 22.590299 -9.5928781 0.4127727 1 1
4000 22.353461 -9.5887736 -0.34247396 1 1
4100 24.103395 -9.76584 0.98989862 1 1
4200 23.92261 -10.566828 -0.71536268 1 1
4300 24.44409 -11.358378 0.37166197 1 1
4400 24.772419 -11.324888 0.26732853 1 1
4500 23.150748 -11.309892 -0.43134573 1 1
4600 24.008361 -10.212365 0.43277527 1 1
4700 25.107401 -9.5753673 0.020406689 1 1
4800 23.658604 -8.9131426 0.46554745 1 1
4900 22.530251 -9.023311 -0.014405315 1 1
5000 23.110692 -9.6567397 0.9033234 1 1
5100 23.760144 -9.7623416 0.32059726 1 1
5200 25.048012 -9.6748253 0.66411561 1 1
5300 24.09835 -9.7867216 0.61128267 1 1
5400 22.984982 -9.9464053 0.28096544 1 1
5500 22.502003 -9.9294451 -0.53666181 1 1
5600 23.712298 -10.054318 0.64334761 1 1
5700 23.350796 -10.217344 2.1979894 1 1
5800 25.246549 -12.458753 0.055553025 1 1
5900 24.422272 -10.641177 0.82506839 1 1
6000 22.478315 -10.629525 -0.774321 1 1
6100 22.970846 -10.218868 0.59819592 1 1
6200 24.500063 -10.355481 0.55427078 1 1
6300 22.358071 -9.9041539 0.89500518 1 1
6400 23.924951 -11.121442 0.045999129 1 1
6500 24.83773 -10.464191 2.0048038 1 1
6600 24.752158 -9.9939162 0.53794465 1 1
6700 23.073765 -9.3662561 0.38618685 1 1
6800 21.940219 -8.4948475 -0.25184019 1 1
6900 22.23783 -8.8668868 0.0072863367 1 1
7000 25.667836 -10.473211 0.59852886 1 1
7100 23.352123 -9.0862268 0.85289283 1 1
7200 24.072107 -9.4020576 0.090222808 1 1
7300 22.806746 -8.4687857 -0.46892989 1 1
7400 24.798425 -9.1144357 -0.38738146 1 1
7500 24.748499 -9.1560558 0.94929896 1 1
7600 25.364753 -10.176533 0.2649225 1 1
7700 25.137988 -9.6617897 1.3920543 1 1
7800 25.502583 -10.320832 0.64812816 1 1
7900 24.5208 -9.9466543 -0.084071026 1 1
8000 24.653522 -10.312942 0.32535023 1 1
8100 23.129565 -9.6250435 0.016356303 1 1
8200 23.82421 -9.7608023 0.11631418 1 1
8300 25.081262 -9.3510452 0.92337854 1 1
8400 24.328205 -9.2875396 0.28266968 1 1
8500 25.041711 -11.254976 -0.21368615 1 1
8600 24.111473 -9.0389585 1.2102938 1 1
8700 23.50066 -9.0926498 0.78819229 1 1
8800 23.840962 -9.3434474 0.091313007 1 1
8900 23.081841 -9.0635966 0.56672001 1 1
9000 24.712103 -9.3243213 0.60301629 1 1
9100 24.457422 -9.439298 -0.60457515 1 1
9200 25.070662 -9.1945782 1.2399235 1 1
9300 25.019869 -8.7910068 0.42340497 1 1
9400 24.23662 -9.3111098 -0.75379175 1 1
9500 24.836827 -8.7324281 0.81857501 1 1
9600 24.901993 -8.6624128 0.84890877 1 1
9700 24.936686 -8.9869503 1.9627894 1 1
9800 25.393368 -9.8538595 0.45344428 1 1
9900 25.942336 -9.7854728 0.68352091 1 1
10000 24.636319 -9.3369442 0.62793231 1 1
Loop time of 1.67474 on 1 procs for 10000 steps with 361 atoms
Performance: 2579511.004 tau/day, 5971.090 timesteps/s
99.8% CPU use with 1 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.47884 | 0.47884 | 0.47884 | 0.0 | 28.59
Bond | 0.24918 | 0.24918 | 0.24918 | 0.0 | 14.88
Neigh | 0.82974 | 0.82974 | 0.82974 | 0.0 | 49.54
Comm | 0.01265 | 0.01265 | 0.01265 | 0.0 | 0.76
Output | 0.00085878 | 0.00085878 | 0.00085878 | 0.0 | 0.05
Modify | 0.075636 | 0.075636 | 0.075636 | 0.0 | 4.52
Other | | 0.02783 | | | 1.66
Nlocal: 361 ave 361 max 361 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Nghost: 0 ave 0 max 0 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Neighs: 2421 ave 2421 max 2421 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Total # of neighbors = 2421
Ave neighs/atom = 6.70637
Ave special neighs/atom = 5.61773
Neighbor list builds = 4937
Dangerous builds = 5
Total wall time: 0:00:01

View File

@ -1,225 +0,0 @@
LAMMPS (15 Feb 2016)
# 2d circle of particles inside a box with LJ walls
variable b index 0
variable x index 50
variable y index 20
variable d index 20
variable v index 5
variable w index 2
units lj
dimension 2
atom_style bond
boundary f f p
lattice hex 0.85
Lattice spacing in x,y,z = 1.16553 2.01877 1.16553
region box block 0 $x 0 $y -0.5 0.5
region box block 0 50 0 $y -0.5 0.5
region box block 0 50 0 20 -0.5 0.5
create_box 1 box bond/types 1 extra/bond/per/atom 6
Created orthogonal box = (0 0 -0.582767) to (58.2767 40.3753 0.582767)
2 by 2 by 1 MPI processor grid
region circle sphere $(v_d/2+1) $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 10
create_atoms 1 region circle
Created 361 atoms
mass 1 1.0
velocity all create 0.5 87287 loop geom
velocity all set $v $w 0 sum yes
velocity all set 5 $w 0 sum yes
velocity all set 5 2 0 sum yes
pair_style lj/cut 2.5
pair_coeff 1 1 10.0 1.0 2.5
bond_style harmonic
bond_coeff 1 10.0 1.2
# need to preserve 1-3, 1-4 pairwise interactions during hard collisions
special_bonds lj/coul 0 1 1
0 = max # of 1-2 neighbors
1 = max # of special neighbors
create_bonds all all 1 1.0 1.5
Neighbor list info ...
2 neighbor list requests
update every 1 steps, delay 10 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 2.8
binsize = 1.4 -> bins = 42 29 1
Added 1014 bonds, new total = 1014
6 = max # of 1-2 neighbors
6 = max # of special neighbors
neighbor 0.3 bin
neigh_modify delay 0 every 1 check yes
fix 1 all nve
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi $x 1 1 2.5
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi 50 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi $y 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi 20 1 1 2.5
comm_style tiled
comm_modify cutoff 7.5
fix 10 all balance 50 0.9 rcb
#compute 1 all property/atom proc
#variable p atom (c_1%10)+1
#dump 2 all custom 50 tmp.dump id v_p x y z
#dump 3 all image 50 image.*.jpg v_p type bond atom 0.25 # adiam 1.0 view 0 0 zoom 1.8 subbox yes 0.02
#variable colors string # "red green blue yellow white # purple pink orange lime gray"
#dump_modify 3 pad 5 amap 0 10 sa 1 10 ${colors}
thermo_style custom step temp epair press f_10[3] f_10
thermo 100
run 10000
Neighbor list info ...
1 neighbor list requests
update every 1 steps, delay 0 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 7.5
binsize = 1.4 -> bins = 42 29 1
Memory usage per processor = 4.49421 Mbytes
Step Temp E_pair Press 10[3] 10
0 25.701528 -2.2032569 3.1039469 3.2354571 1.0526316
100 27.623422 -6.228166 2.6542136 1.2631579 1.0083102
200 33.35302 -15.746749 3.2018248 1.2963989 1.0193906
300 39.17734 -24.1557 4.9116986 1.2963989 1.0193906
400 41.660701 -27.615203 8.6214679 1.3518006 1.0083102
500 37.154928 -24.096947 3.2656178 1.3296399 1.0193906
600 35.059889 -21.524279 2.372849 1.3296399 1.0083102
700 36.70516 -21.98396 3.2995108 1.3296399 1.0083102
800 39.53521 -25.672748 4.3257712 1.3961219 1.0083102
900 38.566797 -24.778382 4.1874914 1.3739612 1.0083102
1000 37.506157 -25.381025 5.6634589 1.4182825 1.0193906
1100 34.186888 -23.460558 5.2123037 1.2963989 1.0083102
1200 33.302788 -22.509552 4.9394032 1.1745152 1.0193906
1300 33.271956 -22.831342 4.5519649 1.1966759 1.0083102
1400 30.344677 -20.654604 4.1641375 1.0969529 1.0193906
1500 27.292624 -18.180523 1.0686706 1.1412742 1.0083102
1600 26.787948 -15.907011 1.7236133 1.1745152 1.0193906
1700 25.708419 -15.568774 0.73006531 1.1080332 1.0193906
1800 26.523196 -14.641077 0.78443231 1.1301939 1.0083102
1900 25.151151 -13.927975 1.1760729 1.1080332 1.0193906
2000 27.637036 -15.055467 1.5903524 1.1301939 1.0083102
2100 27.642772 -14.038356 2.4101976 1.2077562 1.0083102
2200 27.178261 -13.277262 1.9252291 1.1745152 1.0193906
2300 25.615526 -12.67851 0.88527229 1.1634349 1.0083102
2400 24.918218 -13.029669 0.95714212 1.1966759 1.0193906
2500 27.302154 -13.02629 1.3556788 1.1080332 1.0193906
2600 26.798157 -13.78042 2.703198 1.1855956 1.0083102
2700 27.24573 -16.504845 3.1771274 1.1523546 1.0193906
2800 24.592313 -14.795322 1.6473982 1.0969529 1.0193906
2900 22.803769 -13.043913 0.71978239 1.0969529 1.0083102
3000 21.388681 -13.323114 -1.3437735 1.0858726 1.0083102
3100 21.929044 -11.627262 -0.38509856 1.1191136 1.0083102
3200 22.350115 -10.438826 0.7833392 1.0526316 1.0083102
3300 22.619011 -9.9110914 1.4143766 1.1191136 1.0193906
3400 24.251234 -11.712256 1.4299187 1.0969529 1.0193906
3500 25.633796 -12.609976 1.4809529 1.0969529 1.0083102
3600 23.070279 -11.178798 0.35315388 1.1191136 1.0083102
3700 22.635771 -10.360523 0.060253018 1.1412742 1.0193906
3800 20.746426 -9.7066538 0.24549731 1.0526316 1.0083102
3900 22.467121 -10.469368 0.9854352 1.0969529 1.0193906
4000 22.658639 -10.781605 0.014232783 1.1191136 1.0083102
4100 22.839698 -10.528796 1.3995223 1.0526316 1.0083102
4200 23.52621 -12.150065 0.74863439 1.0747922 1.0193906
4300 24.401948 -11.703236 0.25019621 1.0637119 1.0193906
4400 22.769001 -11.763045 -0.033044917 1.1412742 1.0083102
4500 22.170178 -11.572473 -0.40444128 1.0526316 1.0083102
4600 22.409231 -10.761099 -0.012942618 1.0747922 1.0083102
4700 22.953641 -10.999181 0.17199357 1.0637119 1.0083102
4800 22.746977 -10.69943 -0.050664647 1.0526316 1.0083102
4900 23.784023 -10.353932 0.55400224 1.0747922 1.0304709
5000 23.250563 -11.567067 -0.23735032 1.0637119 1.0083102
5100 22.521138 -10.661998 0.50094359 1.0747922 1.0083102
5200 21.318659 -9.5996948 0.75683786 1.0637119 1.0193906
5300 21.603355 -10.042239 -0.2376815 1.0637119 1.0083102
5400 21.350407 -10.181041 -0.87085628 1.1745152 1.0193906
5500 22.430002 -10.535576 0.47962005 1.1191136 1.0193906
5600 22.459036 -11.914086 0.47719353 1.0858726 1.0193906
5700 23.348257 -12.888911 0.55511547 1.0858726 1.0193906
5800 23.357742 -12.328566 0.734193 1.0526316 1.0193906
5900 24.002277 -11.439187 0.23688862 1.0858726 1.0193906
6000 22.398563 -10.682615 0.28777592 1.0747922 1.0193906
6100 22.23883 -10.838986 -0.17956279 1.1080332 1.0083102
6200 21.930735 -11.182485 0.044031465 1.0526316 1.0193906
6300 22.658226 -11.142419 0.060550217 1.0526316 1.0193906
6400 22.375935 -11.1764 -0.027267206 1.0526316 1.0193906
6500 21.553541 -9.9609653 1.0562139 1.0858726 1.0193906
6600 23.339323 -10.988956 0.19462502 1.0526316 1.0083102
6700 22.506968 -11.276791 0.50225378 1.0969529 1.0083102
6800 22.991741 -10.292043 1.3278137 1.0858726 1.0193906
6900 22.716461 -10.540264 1.090723 1.0304709 1.0083102
7000 20.88433 -10.566053 -0.47976012 1.0969529 1.0193906
7100 22.034864 -10.27774 0.24169213 1.0193906 1.0083102
7200 23.107403 -10.304771 0.39888005 1.0969529 1.0304709
7300 22.734104 -9.8038963 1.1986757 1.0858726 1.0083102
7400 23.566402 -10.560548 1.0213434 1.1080332 1.0193906
7500 23.651346 -10.596902 1.290057 1.0969529 1.0083102
7600 23.181407 -10.247073 0.80701327 1.0526316 1.0083102
7700 23.778698 -10.659208 0.54327672 1.0304709 1.0193906
7800 22.655159 -10.183303 0.81382393 1.0747922 1.0193906
7900 22.897008 -10.849819 0.56424197 1.0415512 1.0083102
8000 23.698074 -10.398048 0.42170034 1.0747922 1.0083102
8100 22.726563 -9.8563277 0.30293638 1.0193906 1.0193906
8200 23.424699 -10.687885 0.54222367 1.0415512 1.0083102
8300 22.921826 -10.919492 0.55264172 1.0747922 1.0083102
8400 23.220159 -9.7725217 1.2872547 1.1080332 1.0083102
8500 23.606204 -9.7070499 1.0340181 1.0747922 1.0193906
8600 23.008166 -10.451507 -0.42524326 1.0747922 1.0083102
8700 22.4959 -10.278782 0.19535494 1.0858726 1.0083102
8800 25.153658 -10.757 1.5966743 1.0193906 1.0193906
8900 23.206798 -10.486994 1.2031737 1.0637119 1.0083102
9000 22.726684 -10.406196 0.10165144 1.0858726 1.0304709
9100 22.504045 -9.638919 -0.80560991 1.0747922 1.0083102
9200 21.431928 -9.073801 0.3773795 1.0415512 1.0193906
9300 23.596502 -11.045041 -0.3135787 1.0858726 1.0083102
9400 25.308669 -11.931174 1.3143518 1.0526316 1.0193906
9500 24.394499 -10.661499 0.82236963 1.0969529 1.0193906
9600 21.987451 -9.5632699 0.30728292 1.0858726 1.0193906
9700 22.150748 -9.5707928 -0.1239396 1.0526316 1.0193906
9800 23.347328 -9.7899306 0.29737715 1.0193906 1.0083102
9900 20.310207 -9.4839992 -1.2980277 1.0193906 1.0193906
10000 22.978427 -9.9593786 -0.45943368 1.0526316 1.0083102
Loop time of 0.815364 on 4 procs for 10000 steps with 361 atoms
Performance: 5298244.819 tau/day, 12264.456 timesteps/s
98.9% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.12547 | 0.13632 | 0.14796 | 2.6 | 16.72
Bond | 0.05547 | 0.06023 | 0.064582 | 1.7 | 7.39
Neigh | 0.28201 | 0.28972 | 0.298 | 1.1 | 35.53
Comm | 0.16858 | 0.19467 | 0.22096 | 4.3 | 23.88
Output | 0.0017931 | 0.0019639 | 0.0023253 | 0.5 | 0.24
Modify | 0.039718 | 0.040559 | 0.041364 | 0.4 | 4.97
Other | | 0.09189 | | | 11.27
Nlocal: 90.25 ave 91 max 90 min
Histogram: 3 0 0 0 0 0 0 0 0 1
Nghost: 195.25 ave 202 max 185 min
Histogram: 1 0 0 0 0 1 0 0 1 1
Neighs: 629.5 ave 731 max 543 min
Histogram: 1 1 0 0 0 0 1 0 0 1
Total # of neighbors = 2518
Ave neighs/atom = 6.97507
Ave special neighs/atom = 5.61773
Neighbor list builds = 4874
Dangerous builds = 0
Total wall time: 0:00:00

View File

@ -1,524 +0,0 @@
LAMMPS (15 Feb 2016)
# 2d circle of particles inside a box with LJ walls
variable b index 0
variable x index 50
variable y index 20
variable d index 20
# careful not to slam into wall too hard
variable v index 0.3
variable w index 0.08
units lj
dimension 2
atom_style bond
boundary f f p
lattice hex 0.85
Lattice spacing in x,y,z = 1.16553 2.01877 1.16553
region box block 0 $x 0 $y -0.5 0.5
region box block 0 50 0 $y -0.5 0.5
region box block 0 50 0 20 -0.5 0.5
create_box 1 box bond/types 1 extra/bond/per/atom 6
Created orthogonal box = (0 0 -0.582767) to (58.2767 40.3753 0.582767)
1 by 1 by 1 MPI processor grid
region circle sphere $(v_d/2+1) $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 10
create_atoms 1 region circle
Created 361 atoms
mass 1 1.0
velocity all create 0.5 87287 loop geom
velocity all set $v $w 0 sum yes
velocity all set 0.3 $w 0 sum yes
velocity all set 0.3 0.08 0 sum yes
pair_style lj/cut 2.5
pair_coeff 1 1 10.0 1.0 2.5
bond_style harmonic
bond_coeff 1 10.0 1.2
create_bonds all all 1 1.0 1.5
Neighbor list info ...
2 neighbor list requests
update every 1 steps, delay 10 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 2.8
binsize = 1.4 -> bins = 42 29 1
Added 1014 bonds, new total = 1014
6 = max # of 1-2 neighbors
30 = max # of 1-3 neighbors
180 = max # of 1-4 neighbors
36 = max # of special neighbors
neighbor 0.3 bin
neigh_modify delay 0 every 1 check yes
fix 1 all nve
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi $x 1 1 2.5
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi 50 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi $y 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi 20 1 1 2.5
comm_style tiled
fix 10 all balance 50 0.9 rcb
#compute 1 all property/atom proc
#variable p atom (c_1%10)+1
#dump 2 all custom 50 tmp.dump id v_p x y z
#dump 3 all image 200 image.*.jpg v_p type bond atom 0.25 # adiam 1.0 view 0 0 zoom 1.8 subbox yes 0.02
#variable colors string # "red green blue yellow white # purple pink orange lime gray"
#dump_modify 3 pad 5 amap 0 10 sa 1 10 ${colors}
thermo_style custom step temp epair press f_10[3] f_10
thermo 100
run 40000
Neighbor list info ...
1 neighbor list requests
update every 1 steps, delay 0 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 2.8
binsize = 1.4 -> bins = 42 29 1
Memory usage per processor = 6.31529 Mbytes
Step Temp E_pair Press 10[3] 10
0 0.57437856 0 0.26099453 1 1
100 0.29756515 0 0.10149401 1 1
200 0.35394813 0 0.075159099 1 1
300 0.39245849 0 0.033002384 1 1
400 0.34078347 0 -0.020825841 1 1
500 0.35201095 0 -0.062637506 1 1
600 0.34014717 0 -0.11122965 1 1
700 0.3323524 0 -0.11598015 1 1
800 0.35116047 0 -0.096162395 1 1
900 0.35695352 0 -0.01385176 1 1
1000 0.36986539 0 0.056772858 1 1
1100 0.34584644 0 0.084941323 1 1
1200 0.31921435 0 0.10545078 1 1
1300 0.32952819 0 0.124902 1 1
1400 0.34497365 0 0.12662081 1 1
1500 0.33429243 0 0.096230972 1 1
1600 0.33765387 0 0.025800542 1 1
1700 0.35134464 0 -0.04422593 1 1
1800 0.35003859 0 -0.096745576 1 1
1900 0.33839618 0 -0.095465943 1 1
2000 0.33732078 0 -0.094652802 1 1
2100 0.34552238 0 -0.076729261 1 1
2200 0.34893142 0 -0.036853228 1 1
2300 0.35379341 0 0.021124847 1 1
2400 0.34829744 0 0.09230184 1 1
2500 0.33038141 0 0.1399855 1 1
2600 0.30983019 0 0.12754742 1 1
2700 0.32992561 0 0.10485138 1 1
2800 0.34604747 0 0.066174138 1 1
2900 0.3444791 0 0.036590652 1 1
3000 0.34721342 0 -0.023793368 1 1
3100 0.33404314 0 -0.08374223 1 1
3200 0.33019355 0 -0.12715599 1 1
3300 0.33515177 0 -0.12217394 1 1
3400 0.33628481 0 -0.070877624 1 1
3500 0.34257038 0 -0.021612062 1 1
3600 0.32838009 0 0.030131228 1 1
3700 0.34462142 0 0.074586378 1 1
3800 0.30891825 0 0.10605673 1 1
3900 0.33847951 0 0.13956139 1 1
4000 0.32952079 0 0.12688129 1 1
4100 0.32646772 0 0.081089042 1 1
4200 0.35399503 0 0.013422873 1 1
4300 0.33154914 0 -0.050919508 1 1
4400 0.34113556 0 -0.083171 1 1
4500 0.32651708 0 -0.1063133 1 1
4600 0.34359609 0 -0.1076395 1 1
4700 0.34973537 0 -0.088231606 1 1
4800 0.35198515 0 -0.020901044 1 1
4900 0.35187284 0 0.043645941 1 1
5000 0.34887336 0 0.095698609 1 1
5100 0.30308163 0 0.11649328 1 1
5200 0.32401285 0 0.12072411 1 1
5300 0.33025072 0 0.10933161 1 1
5400 0.33288012 0 0.078356448 1 1
5500 0.35142492 0 0.036958063 1 1
5600 0.35125368 0 -0.041371343 1 1
5700 0.34547744 0 -0.096450846 1 1
5800 0.30939887 0 -0.12356656 1 1
5900 0.32315628 0 -0.11338676 1 1
6000 0.34117485 0 -0.066198961 1 1
6100 0.35298043 0 -0.016172816 1 1
6200 0.35130653 0 0.027660468 1 1
6300 0.35398766 0 0.087221238 1 1
6400 0.30963379 0 0.11990957 1 1
6500 0.3174541 0 0.14103528 1 1
6600 0.31989791 0 0.11575506 1 1
6700 0.33811477 0 0.060747353 1 1
6800 0.3424043 0 0.010357152 1 1
6900 0.34804319 0 -0.042621786 1 1
7000 0.35357865 0 -0.067248959 1 1
7100 0.33556885 0 -0.10983726 1 1
7200 0.33531101 0 -0.112179 1 1
7300 0.35742607 0 -0.078405267 1 1
7400 0.34577559 0 -0.01985432 1 1
7500 0.3498641 0 0.052289439 1 1
7600 0.33773715 0 0.092939035 1 1
7700 0.33093497 0 0.11924405 1 1
7800 0.31435814 0 0.12701724 1 1
7900 0.33132217 0 0.10793075 1 1
8000 0.33451798 0 0.077993125 1 1
8100 0.35188371 0 0.019929977 1 1
8200 0.33645742 0 -0.039302079 1 1
8300 0.3415632 0 -0.098067982 1 1
8400 0.30619282 0 -0.12952879 1 1
8500 0.34446484 0 -0.098084709 1 1
8600 0.33761673 0 -0.07069818 1 1
8700 0.34495452 0 -0.022458056 1 1
8800 0.33502983 0 0.027742411 1 1
8900 0.35418591 0 0.092390134 1 1
9000 0.31648387 0 0.12467398 1 1
9100 0.33994825 0 0.14460327 1 1
9200 0.33822571 0 0.11273284 1 1
9300 0.33260773 0 0.060063671 1 1
9400 0.36140305 0 0.021427642 1 1
9500 0.34273562 0 -0.034064202 1 1
9600 0.33867054 0 -0.089076906 1 1
9700 0.32088235 0 -0.12027075 1 1
9800 0.3320823 0 -0.11602794 1 1
9900 0.33916442 0 -0.080281044 1 1
10000 0.34852268 0 -0.01000914 1 1
10100 0.32955942 0 0.04258493 1 1
10200 0.34487898 0 0.086971308 1 1
10300 0.32325593 0 0.11558149 1 1
10400 0.30927871 0 0.12239437 1 1
10500 0.33176799 0 0.12285937 1 1
10600 0.35120027 0 0.084897432 1 1
10700 0.33129697 0 0.0053089279 1 1
10800 0.36028769 0 -0.04280715 1 1
10900 0.35552287 0 -0.084955999 1 1
11000 0.3406024 0 -0.096554577 1 1
11100 0.33041202 0 -0.10703492 1 1
11200 0.32442686 0 -0.084328121 1 1
11300 0.35952468 0 -0.020191965 1 1
11400 0.34610624 0 0.03440148 1 1
11500 0.3415612 0 0.1041929 1 1
11600 0.34040042 0 0.13215705 1 1
11700 0.33555094 0 0.12738686 1 1
11800 0.3458647 0 0.10963398 1 1
11900 0.33836678 0 0.067253864 1 1
12000 0.34853314 0 0.03201448 1 1
12100 0.34600048 0 -0.034833402 1 1
12200 0.33145631 0 -0.09865675 1 1
12300 0.32848884 0 -0.1248489 1 1
12400 0.3321344 0 -0.11266575 1 1
12500 0.32622305 0 -0.061634993 1 1
12600 0.36213537 0 -0.0090593315 1 1
12700 0.34673866 0 0.036734645 1 1
12800 0.34606618 0 0.086267678 1 1
12900 0.34271431 0 0.12415522 1 1
13000 0.31993287 0 0.13879926 1 1
13100 0.3422918 0 0.11978905 1 1
13200 0.33055236 0 0.062620483 1 1
13300 0.34652207 0 0.0043833459 1 1
13400 0.33574661 0 -0.04691024 1 1
13500 0.33940837 0 -0.074241604 1 1
13600 0.32093414 0 -0.1078027 1 1
13700 0.34336597 0 -0.10544097 1 1
13800 0.35806461 0 -0.072531559 1 1
13900 0.35209713 0 -0.018851408 1 1
14000 0.35702629 0 0.061046366 1 1
14100 0.33234093 0 0.094086465 1 1
14200 0.3459466 0 0.12186656 1 1
14300 0.3327428 0 0.11396572 1 1
14400 0.32409443 0 0.10658903 1 1
14500 0.35022184 0 0.083558031 1 1
14600 0.34823843 0 0.024605569 1 1
14700 0.35298973 0 -0.040418888 1 1
14800 0.33679845 0 -0.10067728 1 1
14900 0.32790966 0 -0.10925568 1 1
15000 0.34208495 0 -0.09568004 1 1
15100 0.33647529 0 -0.055652929 1 1
15200 0.35328398 0 -0.020236536 1 1
15300 0.34252669 0 0.026434179 1 1
15400 0.34409435 0 0.094410599 1 1
15500 0.32288994 0 0.12034455 1 1
15600 0.32109689 0 0.13645185 1 1
15700 0.33681572 0 0.098607746 1 1
15800 0.33635195 0 0.05570715 1 1
15900 0.34289757 0 0.013849092 1 1
16000 0.34225547 0 -0.035597548 1 1
16100 0.33660991 0 -0.076931881 1 1
16200 0.32802152 0 -0.12765884 1 1
16300 0.3469374 0 -0.10785455 1 1
16400 0.34053641 0 -0.070259853 1 1
16500 0.34610591 0 -0.014315306 1 1
16600 0.35109001 0 0.041251169 1 1
16700 0.34336905 0 0.077996627 1 1
16800 0.33277414 0 0.11053634 1 1
16900 0.32183338 0 0.11680626 1 1
17000 0.34044352 0 0.10806555 1 1
17100 0.32967873 0 0.067759786 1 1
17200 0.36172278 0 -0.0048631904 1 1
17300 0.35619435 0 -0.04215545 1 1
17400 0.34540936 0 -0.093994174 1 1
17500 0.33193585 0 -0.098831315 1 1
17600 0.3544756 0 -0.085660403 1 1
17700 0.34505209 0 -0.069640515 1 1
17800 0.36291124 0 -0.0063088133 1 1
17900 0.34255705 0 0.046794555 1 1
18000 0.34163238 0 0.11767705 1 1
18100 0.3466445 0 0.1351712 1 1
18200 0.33037668 0 0.12703659 1 1
18300 0.33677404 0 0.10956306 1 1
18400 0.34978954 0 0.087193072 1 1
18500 0.33354363 0 0.051095814 1 1
18600 0.34651729 0 0.0056245561 1 1
18700 0.32622232 0 -0.047319269 1 1
18800 0.32978847 0 -0.054929416 1 1
18900 0.34192451 0 -0.037252471 1 1
19000 0.34061294 0 -0.001167235 1 1
19100 0.34194478 0 0.016945224 1 1
19200 0.33321765 0 0.050665354 1 1
19300 0.33197783 0 0.080470585 1 1
19400 0.33284715 0 0.12423599 1 1
19500 0.33867856 0 0.12689524 1 1
19600 0.36092786 0 0.11417704 1 1
19700 0.34270183 0 0.069038291 1 1
19800 0.34880695 0 0.042483681 1 1
19900 0.33903644 0 0.034788638 1 1
20000 0.32590125 0 0.011383785 1 1
20100 0.30358859 0 0.0030743554 1 1
20200 0.31830224 0 0.017637826 1 1
20300 0.34195438 0 0.072811099 1 1
20400 0.31249563 0 0.10063541 1 1
20500 0.31544938 0 0.1405794 1 1
20600 0.30071644 0 0.12763486 1 1
20700 0.2890265 0 0.1136651 1 1
20800 0.28962296 0 0.094481978 1 1
20900 0.29447212 0 0.0967165 1 1
21000 0.31159961 0 0.067307231 1 1
21100 0.30490648 0 0.017689358 1 1
21200 0.30687262 0 -0.016055512 1 1
21300 0.30083286 0 -0.0014988997 1 1
21400 0.32070426 0 0.015960302 1 1
21500 0.31439311 0 0.038170385 1 1
21600 0.32617832 0 0.043263788 1 1
21700 0.35151793 0 0.066302727 1 1
21800 0.35912885 0 0.070099103 1 1
21900 0.32451958 0 0.068935768 1 1
22000 0.35219298 0 0.067161227 1 1
22100 0.34857705 0 0.032731746 1 1
22200 0.34750227 0 0.0056917695 1 1
22300 0.34766017 0 -0.0027090483 1 1
22400 0.33426062 0 -0.023196063 1 1
22500 0.34174625 0 -0.025019717 1 1
22600 0.3356145 0 -0.029707418 1 1
22700 0.3362653 0 -0.035815733 1 1
22800 0.33973405 0 -0.0024705835 1 1
22900 0.33813085 0 0.0077527467 1 1
23000 0.33339981 0 0.028340744 1 1
23100 0.34079832 0 0.018521302 1 1
23200 0.33074548 0 0.032378405 1 1
23300 0.32965664 0 0.035989589 1 1
23400 0.30927749 0 0.024581106 1 1
23500 0.32890632 0 0.01092479 1 1
23600 0.34137438 0 0.0094839745 1 1
23700 0.34512638 0 -0.012392771 1 1
23800 0.31781354 0 -0.012908449 1 1
23900 0.32405513 0 -0.015018071 1 1
24000 0.33549728 0 -0.012812915 1 1
24100 0.31368736 0 -0.020818372 1 1
24200 0.33533836 0 0.0056121057 1 1
24300 0.32530627 0 0.018183931 1 1
24400 0.31930662 0 0.027446878 1 1
24500 0.33540302 0 0.040307455 1 1
24600 0.34020431 0 0.027403921 1 1
24700 0.3291814 0 0.01204865 1 1
24800 0.31552604 0 0.019654111 1 1
24900 0.34727253 0 0.01670543 1 1
25000 0.35120105 0 0.0038617562 1 1
25100 0.32706871 0 -0.021196623 1 1
25200 0.32915282 0 -0.017146508 1 1
25300 0.32577518 0 -0.01312495 1 1
25400 0.33286855 0 0.0014726193 1 1
25500 0.33002601 0 0.0080974022 1 1
25600 0.34127655 0 0.014296091 1 1
25700 0.34048065 0 0.022513032 1 1
25800 0.33029079 0 0.038733531 1 1
25900 0.33031324 0 0.026156982 1 1
26000 0.32967371 0 0.028727383 1 1
26100 0.33775718 0 0.015607478 1 1
26200 0.35097144 0 0.012291703 1 1
26300 0.34303792 0 0.00094823191 1 1
26400 0.33632665 0 -0.0026904889 1 1
26500 0.33580127 0 -0.0074168555 1 1
26600 0.33063188 0 -0.020378601 1 1
26700 0.33581846 0 -0.00084397268 1 1
26800 0.32998532 0 0.015932208 1 1
26900 0.33825444 0 0.010428603 1 1
27000 0.32081518 0 0.019818223 1 1
27100 0.31448098 0 0.020093416 1 1
27200 0.32643684 0 0.021934917 1 1
27300 0.33289466 0 0.023713072 1 1
27400 0.32310744 0 0.024110945 1 1
27500 0.33115619 0 0.0025776713 1 1
27600 0.33295887 0 -0.010710764 1 1
27700 0.32968876 0 -0.0064595905 1 1
27800 0.34064581 0 -0.0086519116 1 1
27900 0.33559187 0 -0.0055753593 1 1
28000 0.32300727 0 -0.0004153384 1 1
28100 0.32147461 0 -0.0058543412 1 1
28200 0.35532383 0 0.013646951 1 1
28300 0.31507942 0 0.026532255 1 1
28400 0.32711006 0 0.033214981 1 1
28500 0.34472462 0 0.028050837 1 1
28600 0.33708059 0 0.019115676 1 1
28700 0.34478087 0 0.023743689 1 1
28800 0.34546686 0 0.0081772997 1 1
28900 0.34004886 0 0.017771865 1 1
29000 0.33604232 0 -0.010505671 1 1
29100 0.33541374 0 -0.016273261 1 1
29200 0.34347489 0 -0.010002306 1 1
29300 0.34083904 0 0.0089701784 1 1
29400 0.34846892 0 0.020765104 1 1
29500 0.3416255 0 0.022650856 1 1
29600 0.33725496 0 0.020693083 1 1
29700 0.34480638 0 0.024317128 1 1
29800 0.31459471 0 0.023097895 1 1
29900 0.33014448 0 0.03114046 1 1
30000 0.33741498 0 0.015624314 1 1
30100 0.32598657 0 -0.0018860541 1 1
30200 0.34855815 0 0.0017983372 1 1
30300 0.33375921 0 0.0010991235 1 1
30400 0.35008944 0 -0.0027316177 1 1
30500 0.33279729 0 -0.0035788551 1 1
30600 0.33868746 0 -0.0016249482 1 1
30700 0.33597034 0 -0.0014524001 1 1
30800 0.3227257 0 0.016353457 1 1
30900 0.32676516 0 0.027396654 1 1
31000 0.34083982 0 0.031606413 1 1
31100 0.32165238 0 0.013583368 1 1
31200 0.3428492 0 0.020486611 1 1
31300 0.32372541 0 0.01215566 1 1
31400 0.32734692 0 0.016229397 1 1
31500 0.33089262 0 0.0060426618 1 1
31600 0.34273493 0 -0.013456537 1 1
31700 0.32723905 0 -0.019243766 1 1
31800 0.33636488 0 0.0027814902 1 1
31900 0.32834805 0 0.00706877 1 1
32000 0.33995148 0 0.0018383309 1 1
32100 0.33412282 0 0.0076455933 1 1
32200 0.34334884 0 0.023586129 1 1
32300 0.32778925 0 0.020564321 1 1
32400 0.33163443 0 0.038878463 1 1
32500 0.32290345 0 0.022247461 1 1
32600 0.34113954 0 0.010966365 1 1
32700 0.33390633 0 0.0037777555 1 1
32800 0.34385341 0 0.010556575 1 1
32900 0.32137047 0 0.00022027143 1 1
33000 0.32079172 0 -0.017261272 1 1
33100 0.33570882 0 -0.0051942206 1 1
33200 0.34320894 0 -0.011515281 1 1
33300 0.32794746 0 -0.0018153673 1 1
33400 0.33060982 0 0.027118146 1 1
33500 0.33641809 0 0.02143035 1 1
33600 0.33643061 0 0.020833068 1 1
33700 0.3485949 0 0.030918751 1 1
33800 0.3283985 0 0.01947613 1 1
33900 0.31959761 0 0.021128147 1 1
34000 0.33897984 0 0.015270986 1 1
34100 0.32392267 0 0.0020130852 1 1
34200 0.33084514 0 -0.024316708 1 1
34300 0.3342259 0 -0.0059047764 1 1
34400 0.33385098 0 0.0063818721 1 1
34500 0.33255603 0 -0.01023837 1 1
34600 0.34766173 0 0.0056703013 1 1
34700 0.339822 0 0.0061648559 1 1
34800 0.33902329 0 0.030037037 1 1
34900 0.3216153 0 0.027996689 1 1
35000 0.32701056 0 0.024778517 1 1
35100 0.3124942 0 0.011316548 1 1
35200 0.34486416 0 0.011670127 1 1
35300 0.33275353 0 0.020491246 1 1
35400 0.33618763 0 0.014678874 1 1
35500 0.32352282 0 -0.018568683 1 1
35600 0.32617903 0 -0.012796912 1 1
35700 0.32378048 0 -0.021318585 1 1
35800 0.3371086 0 -0.0023678632 1 1
35900 0.33818476 0 0.011197742 1 1
36000 0.35142144 0 0.022520935 1 1
36100 0.35147297 0 0.020277852 1 1
36200 0.33489465 0 0.014564878 1 1
36300 0.33841515 0 0.036439962 1 1
36400 0.32301096 0 0.019966746 1 1
36500 0.35612028 0 0.036509556 1 1
36600 0.33841597 0 -0.0042180605 1 1
36700 0.34477654 0 -0.0052770853 1 1
36800 0.33804317 0 -0.013751733 1 1
36900 0.35003816 0 -0.0021184393 1 1
37000 0.32965041 0 -0.020900951 1 1
37100 0.34653095 0 -0.013667977 1 1
37200 0.35019871 0 -0.0071740923 1 1
37300 0.34859745 0 0.02006041 1 1
37400 0.35739859 0 0.020892822 1 1
37500 0.34128859 0 0.041072111 1 1
37600 0.33781905 0 0.023376738 1 1
37700 0.32961874 0 0.030953741 1 1
37800 0.343987 0 0.029579795 1 1
37900 0.33610448 0 0.036836828 1 1
38000 0.32757228 0 0.020902031 1 1
38100 0.32735808 0 0.019544751 1 1
38200 0.35646953 0 0.044607528 1 1
38300 0.32509773 0 0.03610738 1 1
38400 0.32111741 0 0.034474043 1 1
38500 0.30590608 0 0.053461212 1 1
38600 0.32322402 0 0.053453832 1 1
38700 0.33843057 0 0.076264534 1 1
38800 0.31350741 0 0.064733869 1 1
38900 0.31943061 0 0.067836769 1 1
39000 0.33775583 0 0.0788316 1 1
39100 0.34256036 0 0.075874935 1 1
39200 0.33128527 0 0.071610976 1 1
39300 0.34519653 0 0.046257301 1 1
39400 0.34351844 0 0.052422917 1 1
39500 0.35716037 0 0.048916058 1 1
39600 0.34000737 0 0.016149089 1 1
39700 0.34587892 0 0.021619621 1 1
39800 0.34878036 0 0.0092881327 1 1
39900 0.35225411 0 -0.011341599 1 1
40000 0.36309266 0 0.0050869295 1 1
Loop time of 1.94553 on 1 procs for 40000 steps with 361 atoms
Performance: 8881898.790 tau/day, 20559.951 timesteps/s
100.0% CPU use with 1 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.068658 | 0.068658 | 0.068658 | 0.0 | 3.53
Bond | 0.9979 | 0.9979 | 0.9979 | 0.0 | 51.29
Neigh | 0.50428 | 0.50428 | 0.50428 | 0.0 | 25.92
Comm | 0.015341 | 0.015341 | 0.015341 | 0.0 | 0.79
Output | 0.0029466 | 0.0029466 | 0.0029466 | 0.0 | 0.15
Modify | 0.28324 | 0.28324 | 0.28324 | 0.0 | 14.56
Other | | 0.07317 | | | 3.76
Nlocal: 361 ave 361 max 361 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Nghost: 0 ave 0 max 0 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Neighs: 0 ave 0 max 0 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Total # of neighbors = 0
Ave neighs/atom = 0
Ave special neighs/atom = 31.0249
Neighbor list builds = 3079
Dangerous builds = 0
Total wall time: 0:00:01

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@ -1,202 +0,0 @@
LAMMPS (15 Feb 2016)
# 2d circle of particles inside a box with LJ walls
variable b index 0
variable x index 50
variable y index 20
variable d index 20
variable v index 5
variable w index 2
units lj
dimension 2
atom_style atomic
boundary f f p
lattice hex 0.85
Lattice spacing in x,y,z = 1.16553 2.01877 1.16553
region box block 0 $x 0 $y -0.5 0.5
region box block 0 50 0 $y -0.5 0.5
region box block 0 50 0 20 -0.5 0.5
create_box 1 box
Created orthogonal box = (0 0 -0.582767) to (58.2767 40.3753 0.582767)
1 by 1 by 1 MPI processor grid
region circle sphere $(v_d/2+1) $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 10
create_atoms 1 region circle
Created 361 atoms
mass 1 1.0
velocity all create 0.5 87287 loop geom
velocity all set $v $w 0 sum yes
velocity all set 5 $w 0 sum yes
velocity all set 5 2 0 sum yes
pair_style lj/cut 2.5
pair_coeff 1 1 10.0 1.0 2.5
neighbor 0.3 bin
neigh_modify delay 0 every 1 check yes
fix 1 all nve
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi $x 1 1 2.5
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi 50 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi $y 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi 20 1 1 2.5
comm_style tiled
fix 10 all balance 50 0.9 rcb
#compute 1 all property/atom proc
#variable p atom c_1%10
#dump 2 all custom 50 tmp.dump id v_p x y z
#dump 3 all image 50 image.*.jpg v_p type # adiam 1.0 view 0 0 zoom 1.8 subbox yes 0.02
#variable colors string # "red green blue yellow white # purple pink orange lime gray"
#dump_modify 3 pad 5 amap 0 10 sa 1 10 ${colors}
thermo_style custom step temp epair press f_10[3] f_10
thermo 100
run 10000
Neighbor list info ...
1 neighbor list requests
update every 1 steps, delay 0 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 2.8
binsize = 1.4 -> bins = 42 29 1
Memory usage per processor = 2.47688 Mbytes
Step Temp E_pair Press 10[3] 10
0 25.701528 -29.143179 -1.2407285 1 1
100 26.269576 -29.713313 7.9052334 1 1
200 26.368336 -29.809962 1.6412462 1 1
300 26.479082 -29.920083 2.3678653 1 1
400 26.522239 -29.965537 6.6787858 1 1
500 25.725591 -29.168034 0.67065285 1 1
600 26.247693 -29.692706 7.9887712 1 1
700 26.237368 -29.676926 1.5987214 1 1
800 25.889643 -29.431589 4.6160859 1 1
900 23.635295 -27.372963 9.029962 1 1
1000 22.571904 -25.87422 1.8936085 1 1
1100 17.493795 -21.447274 9.502619 1 1
1200 17.214459 -20.726964 6.3578933 1 1
1300 16.424366 -19.75746 3.9025348 1 1
1400 15.09282 -18.172384 1.7966088 1 1
1500 13.669129 -16.736191 1.3320876 1 1
1600 13.518191 -16.481254 2.2474968 1 1
1700 13.840191 -16.808798 1.848689 1 1
1800 12.705797 -15.654395 2.6658475 1 1
1900 12.560112 -15.376796 1.6651246 1 1
2000 12.11219 -14.943991 1.2347207 1 1
2100 11.681161 -14.453803 1.1856253 1 1
2200 11.380134 -14.15437 1.0983288 1 1
2300 11.404137 -14.206989 1.0886428 1 1
2400 11.267361 -14.00915 1.1353313 1 1
2500 11.086288 -13.866685 1.5189761 1 1
2600 11.241757 -14.031809 1.6088858 1 1
2700 10.741715 -13.522752 1.2648051 1 1
2800 10.594219 -13.461001 1.2068865 1 1
2900 10.497917 -13.243311 0.90549881 1 1
3000 9.8887944 -12.633322 1.2014467 1 1
3100 10.046064 -12.757462 0.72911664 1 1
3200 9.8202521 -12.544235 0.85793687 1 1
3300 9.9932983 -12.729524 1.3692879 1 1
3400 9.4389164 -12.132571 0.83559817 1 1
3500 9.4456791 -12.154808 1.2415677 1 1
3600 9.4291752 -12.13391 1.1892815 1 1
3700 9.2656145 -11.994284 0.93597208 1 1
3800 9.6833674 -12.407022 1.4696321 1 1
3900 9.2075262 -11.996657 1.0201833 1 1
4000 8.704708 -11.395839 1.5366945 1 1
4100 8.496226 -11.160512 0.98385093 1 1
4200 8.5566638 -11.241219 0.84428298 1 1
4300 8.3079987 -10.963542 0.96552044 1 1
4400 8.0878014 -10.695296 0.9598929 1 1
4500 7.8974753 -10.510996 0.67253552 1 1
4600 7.9008492 -10.511956 0.80200878 1 1
4700 7.8469401 -10.46341 0.91408186 1 1
4800 7.8237062 -10.478701 0.80709563 1 1
4900 7.9248576 -10.569715 0.93955604 1 1
5000 7.8285795 -10.450559 0.72760696 1 1
5100 7.8176003 -10.433727 1.0046395 1 1
5200 7.930586 -10.543139 1.1883254 1 1
5300 7.4014327 -10.200353 1.2717149 1 1
5400 7.3398704 -9.9377313 0.8277383 1 1
5500 7.9323894 -10.544566 0.58409181 1 1
5600 7.8256391 -10.452111 0.8371735 1 1
5700 7.5744223 -10.225985 0.56633204 1 1
5800 7.5149231 -10.128901 0.8877957 1 1
5900 7.2696456 -9.868796 1.0183026 1 1
6000 8.172964 -10.8046 0.82048799 1 1
6100 7.569911 -10.224271 0.85335085 1 1
6200 7.5498129 -10.158173 0.69550695 1 1
6300 7.0906227 -9.664124 0.38267058 1 1
6400 6.9720876 -9.556043 0.74772365 1 1
6500 7.2708269 -9.8393843 0.87493485 1 1
6600 7.0968522 -9.7557969 0.66499003 1 1
6700 7.1122649 -9.7305659 1.3152794 1 1
6800 6.9990684 -9.5808587 0.25569509 1 1
6900 7.2436468 -9.8205382 0.94441711 1 1
7000 7.0592104 -9.6306985 0.62683684 1 1
7100 6.7457928 -9.3199995 0.92851433 1 1
7200 7.0005278 -9.645515 0.79975493 1 1
7300 7.0106928 -9.5922649 0.78131757 1 1
7400 6.9425198 -9.5718261 0.3016744 1 1
7500 7.4193009 -9.9953487 0.55537513 1 1
7600 7.1870399 -9.7798145 0.94155142 1 1
7700 6.8261504 -9.3693292 0.78601298 1 1
7800 6.8794916 -9.4362689 0.9335562 1 1
7900 7.0068635 -9.5490666 0.53210657 1 1
8000 6.641609 -9.181226 0.80726821 1 1
8100 6.9290677 -9.4788963 1.1195905 1 1
8200 6.6497084 -9.197688 0.45616164 1 1
8300 6.6000864 -9.207368 0.46307403 1 1
8400 6.7434835 -9.3226196 0.78570419 1 1
8500 7.0766248 -9.5981608 0.48778261 1 1
8600 6.8206587 -9.3646115 0.76420951 1 1
8700 7.2009315 -9.7629817 0.69026433 1 1
8800 7.0581986 -9.636327 0.54467209 1 1
8900 7.2337543 -9.8210795 0.61604427 1 1
9000 6.7053026 -9.2552306 0.24196123 1 1
9100 6.7919694 -9.3561383 0.34320213 1 1
9200 6.8518231 -9.4142511 0.73735875 1 1
9300 6.5891178 -9.1414615 0.45262773 1 1
9400 6.4724853 -9.0217877 0.54837629 1 1
9500 6.3569528 -8.9201793 0.19617724 1 1
9600 6.3765498 -8.947548 0.85408461 1 1
9700 6.5652079 -9.1101844 0.74478711 1 1
9800 6.5099709 -9.0677449 0.69826809 1 1
9900 6.1773299 -8.7085595 0.69981004 1 1
10000 6.3999463 -8.9423632 0.42668066 1 1
Loop time of 0.675636 on 1 procs for 10000 steps with 361 atoms
Performance: 6393974.952 tau/day, 14800.868 timesteps/s
99.7% CPU use with 1 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.29845 | 0.29845 | 0.29845 | 0.0 | 44.17
Neigh | 0.26869 | 0.26869 | 0.26869 | 0.0 | 39.77
Comm | 0.006007 | 0.006007 | 0.006007 | 0.0 | 0.89
Output | 0.00076938 | 0.00076938 | 0.00076938 | 0.0 | 0.11
Modify | 0.077204 | 0.077204 | 0.077204 | 0.0 | 11.43
Other | | 0.02452 | | | 3.63
Nlocal: 361 ave 361 max 361 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Nghost: 0 ave 0 max 0 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Neighs: 1191 ave 1191 max 1191 min
Histogram: 1 0 0 0 0 0 0 0 0 0
Total # of neighbors = 1191
Ave neighs/atom = 3.29917
Neighbor list builds = 3609
Dangerous builds = 0
Total wall time: 0:00:00

View File

@ -1,202 +0,0 @@
LAMMPS (15 Feb 2016)
# 2d circle of particles inside a box with LJ walls
variable b index 0
variable x index 50
variable y index 20
variable d index 20
variable v index 5
variable w index 2
units lj
dimension 2
atom_style atomic
boundary f f p
lattice hex 0.85
Lattice spacing in x,y,z = 1.16553 2.01877 1.16553
region box block 0 $x 0 $y -0.5 0.5
region box block 0 50 0 $y -0.5 0.5
region box block 0 50 0 20 -0.5 0.5
create_box 1 box
Created orthogonal box = (0 0 -0.582767) to (58.2767 40.3753 0.582767)
2 by 2 by 1 MPI processor grid
region circle sphere $(v_d/2+1) $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 10
create_atoms 1 region circle
Created 361 atoms
mass 1 1.0
velocity all create 0.5 87287 loop geom
velocity all set $v $w 0 sum yes
velocity all set 5 $w 0 sum yes
velocity all set 5 2 0 sum yes
pair_style lj/cut 2.5
pair_coeff 1 1 10.0 1.0 2.5
neighbor 0.3 bin
neigh_modify delay 0 every 1 check yes
fix 1 all nve
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi $x 1 1 2.5
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi 50 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi $y 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi 20 1 1 2.5
comm_style tiled
fix 10 all balance 50 0.9 rcb
#compute 1 all property/atom proc
#variable p atom c_1%10
#dump 2 all custom 50 tmp.dump id v_p x y z
#dump 3 all image 50 image.*.jpg v_p type # adiam 1.0 view 0 0 zoom 1.8 subbox yes 0.02
#variable colors string # "red green blue yellow white # purple pink orange lime gray"
#dump_modify 3 pad 5 amap 0 10 sa 1 10 ${colors}
thermo_style custom step temp epair press f_10[3] f_10
thermo 100
run 10000
Neighbor list info ...
1 neighbor list requests
update every 1 steps, delay 0 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 2.8
binsize = 1.4 -> bins = 42 29 1
Memory usage per processor = 2.48839 Mbytes
Step Temp E_pair Press 10[3] 10
0 25.701528 -29.143179 -1.2407285 3.2354571 1.0526316
100 26.269576 -29.713313 7.9052334 1.2742382 1.0304709
200 26.368336 -29.809962 1.6412462 1.2520776 1.0083102
300 26.479082 -29.920083 2.3678653 1.2299169 1.0193906
400 26.522239 -29.965537 6.6787858 1.1855956 1.0083102
500 25.725591 -29.168034 0.67065285 1.2520776 1.0083102
600 26.247693 -29.692706 7.9887712 1.3074792 1.0083102
700 26.237368 -29.676926 1.5987214 1.2409972 1.0083102
800 25.889643 -29.431589 4.6160859 1.2631579 1.0083102
900 23.635295 -27.372963 9.029962 1.1634349 1.0083102
1000 22.571904 -25.87422 1.8936085 1.1301939 1.0193906
1100 17.493795 -21.447274 9.502619 1.0858726 1.0193906
1200 17.214459 -20.726965 6.3578917 1.0304709 1.0193906
1300 16.424154 -19.757386 3.9027133 1.1191136 1.0083102
1400 15.04233 -18.126227 1.7539398 1.0858726 1.0193906
1500 13.749022 -16.839766 1.4654778 1.0747922 1.0083102
1600 13.888812 -16.855703 1.8972035 1.0858726 1.0304709
1700 13.647879 -16.652436 1.5110481 1.0526316 1.0304709
1800 12.61308 -15.580445 2.1861667 1.0083102 1.0083102
1900 12.700272 -15.594505 1.6395684 1.0304709 1.0083102
2000 12.204319 -15.16754 1.6302417 1.1080332 1.0083102
2100 11.921129 -14.774621 1.4311256 1.0858726 1.0083102
2200 11.959274 -14.797326 1.4920985 1.0415512 1.0083102
2300 11.633606 -14.455284 1.4447243 1.1412742 1.0193906
2400 12.180014 -14.719121 1.4582702 1.0304709 1.0083102
2500 11.779995 -14.293633 1.2961686 1.0304709 1.0083102
2600 11.86013 -14.272853 1.1970414 1.0415512 1.0193906
2700 11.360658 -13.772549 1.192957 1.0526316 1.0083102
2800 11.045632 -13.438591 1.2007074 1.0083102 1.0193906
2900 10.689472 -13.127138 0.94544611 1.0193906 1.0193906
3000 10.445298 -12.809325 1.3035047 1.0304709 1.0193906
3100 10.22325 -12.599858 1.7838342 1.0304709 1.0083102
3200 10.226845 -12.602391 0.91456469 1.0304709 1.0193906
3300 9.8906692 -12.204654 1.4538962 1.0415512 1.0193906
3400 9.0246858 -11.627057 1.1929498 1.0304709 1.0193906
3500 9.4549317 -11.747347 0.92966653 1.0193906 1.0193906
3600 9.2467281 -11.534358 0.94959796 1.0415512 1.0083102
3700 9.1099307 -11.381318 1.2963887 1.0193906 1.0083102
3800 9.2236074 -11.483205 1.3510186 1.1080332 1.0193906
3900 8.6105519 -10.877844 1.3591509 1.0304709 1.0083102
4000 8.588698 -10.846126 0.76473884 1.0415512 1.0083102
4100 8.5960453 -10.831229 0.93758423 1.0747922 1.0193906
4200 8.1049344 -10.436054 0.74947412 1.0526316 1.0083102
4300 8.2606129 -10.471049 0.64465155 1.0193906 1.0193906
4400 8.0777962 -10.288476 1.1145052 1.0193906 1.0083102
4500 7.9202904 -10.10427 0.49016698 1.0304709 1.0083102
4600 8.2366755 -10.434942 0.65930769 1.0193906 1.0083102
4700 7.9313531 -10.13685 1.097861 1.0304709 1.0083102
4800 7.8637296 -10.085957 0.56015483 1.0304709 1.0193906
4900 7.3410322 -9.5357686 0.89340163 1.0304709 1.0193906
5000 7.6647481 -9.8529515 0.8283225 1.0193906 1.0193906
5100 7.4114006 -9.5917802 0.64812231 1.0083102 1.0193906
5200 7.6261959 -9.8178843 0.90517452 1.0193906 1.0083102
5300 7.6501619 -9.8428477 1.028077 1.0304709 1.0083102
5400 7.4694373 -9.6434672 0.38259983 1.0193906 1.0083102
5500 7.3111918 -9.4803007 0.47921149 1.0193906 1.0193906
5600 7.2132446 -9.3694039 0.71282856 1.0193906 1.0083102
5700 6.8349744 -9.0018958 0.85688618 1.0193906 1.0083102
5800 7.1978042 -9.3667457 0.61717818 1.0304709 1.0193906
5900 7.1441033 -9.3263118 0.32840394 1.0193906 1.0083102
6000 7.0943691 -9.2621241 1.3099316 1.0083102 1.0083102
6100 6.9547586 -9.1026607 0.44492974 1.0193906 1.0083102
6200 7.0932682 -9.2934579 0.93444691 1.0415512 1.0083102
6300 7.0536275 -9.2562193 0.57578551 1.0193906 1.0193906
6400 6.8839921 -9.0513091 0.65690774 1.0193906 1.0083102
6500 6.7618431 -8.9037814 0.6011838 1.0304709 1.0193906
6600 6.6600729 -8.7979286 0.73495903 1.0193906 1.0193906
6700 6.6544136 -8.8089155 0.41206297 1.0304709 1.0193906
6800 6.7935502 -8.9405122 1.022055 1.0193906 1.0083102
6900 6.6603594 -8.8085894 0.4271189 1.0526316 1.0193906
7000 6.4894888 -8.6794785 0.64389173 1.0526316 1.0193906
7100 6.6252776 -8.776746 1.3915989 1.0193906 1.0193906
7200 6.6680717 -8.8468379 0.60275261 1.0193906 1.0193906
7300 6.697874 -8.8458161 0.50887488 1.0637119 1.0083102
7400 6.2112277 -8.340139 0.45211042 1.0415512 1.0193906
7500 6.4923853 -8.6255862 0.79982162 1.0083102 1.0193906
7600 6.2922271 -8.4027197 0.33603817 1.0304709 1.0083102
7700 6.5744688 -8.7079756 0.51620003 1.0415512 1.0083102
7800 6.6730316 -8.8278613 1.2334484 1.0304709 1.0083102
7900 6.3831791 -8.4878853 0.49555781 1.0415512 1.0193906
8000 6.690559 -8.7918607 0.88102021 1.0415512 1.0083102
8100 6.5390375 -8.6612074 0.45605815 1.0304709 1.0193906
8200 6.6957638 -8.8406262 0.45001955 1.0193906 1.0083102
8300 6.8684401 -9.0293678 0.64215355 1.0083102 1.0083102
8400 6.4416293 -8.5841829 0.53513285 1.0193906 1.0193906
8500 6.6854101 -8.8269391 0.81750487 1.0637119 1.0083102
8600 6.588469 -8.7315753 0.33201251 1.0083102 1.0083102
8700 6.2974312 -8.4104697 0.57054382 1.0083102 1.0083102
8800 6.4691853 -8.5985479 0.95554418 1.0415512 1.0083102
8900 6.7437807 -8.8949865 0.69067866 1.0415512 1.0083102
9000 6.5681473 -8.6984555 0.88464065 1.0193906 1.0083102
9100 6.6158471 -8.7398687 0.72347757 1.0193906 1.0083102
9200 6.4521137 -8.6048511 0.75093363 1.0193906 1.0193906
9300 6.4179685 -8.5582051 1.0072192 1.0083102 1.0083102
9400 6.580258 -8.7234535 0.56842466 1.0193906 1.0193906
9500 6.4125418 -8.56348 0.36394135 1.0304709 1.0193906
9600 6.6723409 -8.8402798 0.56711277 1.0304709 1.0193906
9700 6.4522736 -8.594767 0.43495668 1.0193906 1.0083102
9800 6.2127437 -8.3329761 0.68977311 1.0304709 1.0193906
9900 6.4360513 -8.5839262 1.1702062 1.0304709 1.0193906
10000 6.3393653 -8.4396274 0.46277884 1.0304709 1.0193906
Loop time of 0.389322 on 4 procs for 10000 steps with 361 atoms
Performance: 11096205.412 tau/day, 25685.661 timesteps/s
98.7% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.061902 | 0.074659 | 0.098288 | 5.1 | 19.18
Neigh | 0.061993 | 0.067136 | 0.078793 | 2.6 | 17.24
Comm | 0.10335 | 0.13334 | 0.15511 | 5.6 | 34.25
Output | 0.0017662 | 0.0020409 | 0.0027893 | 1.0 | 0.52
Modify | 0.037374 | 0.038055 | 0.038669 | 0.2 | 9.77
Other | | 0.07409 | | | 19.03
Nlocal: 90.25 ave 92 max 88 min
Histogram: 1 0 0 0 0 1 0 1 0 1
Nghost: 36 ave 38 max 34 min
Histogram: 1 0 0 0 0 2 0 0 0 1
Neighs: 276.75 ave 448 max 153 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Total # of neighbors = 1107
Ave neighs/atom = 3.06648
Neighbor list builds = 3472
Dangerous builds = 0
Total wall time: 0:00:00

View File

@ -0,0 +1,225 @@
LAMMPS (26 Sep 2016)
# 2d circle of particles inside a box with LJ walls
variable b index 0
variable x index 50
variable y index 20
variable d index 20
variable v index 5
variable w index 2
units lj
dimension 2
atom_style bond
boundary f f p
lattice hex 0.85
Lattice spacing in x,y,z = 1.16553 2.01877 1.16553
region box block 0 $x 0 $y -0.5 0.5
region box block 0 50 0 $y -0.5 0.5
region box block 0 50 0 20 -0.5 0.5
create_box 1 box bond/types 1 extra/bond/per/atom 6
Created orthogonal box = (0 0 -0.582767) to (58.2767 40.3753 0.582767)
2 by 2 by 1 MPI processor grid
region circle sphere $(v_d/2+1) $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 10
create_atoms 1 region circle
Created 361 atoms
mass 1 1.0
velocity all create 0.5 87287 loop geom
velocity all set $v $w 0 sum yes
velocity all set 5 $w 0 sum yes
velocity all set 5 2 0 sum yes
pair_style lj/cut 2.5
pair_coeff 1 1 10.0 1.0 2.5
bond_style harmonic
bond_coeff 1 10.0 1.2
# need to preserve 1-3, 1-4 pairwise interactions during hard collisions
special_bonds lj/coul 0 1 1
0 = max # of 1-2 neighbors
1 = max # of special neighbors
create_bonds all all 1 1.0 1.5
Neighbor list info ...
2 neighbor list requests
update every 1 steps, delay 10 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 2.8
binsize = 1.4 -> bins = 42 29 1
Added 1014 bonds, new total = 1014
6 = max # of 1-2 neighbors
6 = max # of special neighbors
neighbor 0.3 bin
neigh_modify delay 0 every 1 check yes
fix 1 all nve
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi $x 1 1 2.5
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi 50 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi $y 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi 20 1 1 2.5
comm_style tiled
comm_modify cutoff 7.5
fix 10 all balance 50 0.9 rcb
#compute 1 all property/atom proc
#variable p atom (c_1%10)+1
#dump 2 all custom 50 tmp.dump id v_p x y z
#dump 3 all image 50 image.*.jpg v_p type bond atom 0.25 # adiam 1.0 view 0 0 zoom 1.8 subbox yes 0.02
#variable colors string # "red green blue yellow white # purple pink orange lime gray"
#dump_modify 3 pad 5 amap 0 10 sa 1 10 ${colors}
thermo_style custom step temp epair press f_10[3] f_10
thermo 100
run 10000
Neighbor list info ...
1 neighbor list requests
update every 1 steps, delay 0 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 7.5
binsize = 1.4 -> bins = 42 29 1
Memory usage per processor = 4.49421 Mbytes
Step Temp E_pair Press f_10[3] f_10
0 25.701528 -2.2032569 3.1039469 3.2354571 1.0526316
100 27.623422 -6.228166 2.6542136 1.2631579 1.0083102
200 33.35302 -15.746749 3.2018248 1.2963989 1.0193906
300 39.17734 -24.1557 4.9116986 1.2963989 1.0193906
400 41.660701 -27.615203 8.6214679 1.3518006 1.0083102
500 37.154928 -24.096947 3.2656178 1.3296399 1.0193906
600 35.059889 -21.524278 2.3728491 1.3296399 1.0083102
700 36.70511 -21.983922 3.299538 1.3296399 1.0083102
800 39.54394 -25.667546 4.3058382 1.3961219 1.0083102
900 37.868974 -24.379807 5.3176538 1.3518006 1.0083102
1000 36.721328 -23.341363 5.8700266 1.3407202 1.0083102
1100 35.646239 -23.3255 3.3762843 1.1855956 1.0083102
1200 31.452912 -20.792985 5.4901357 1.1966759 1.0083102
1300 32.276549 -21.245929 6.4153084 1.2077562 1.0193906
1400 29.452751 -20.724401 2.174752 1.1855956 1.0083102
1500 28.014757 -18.893532 1.7482766 1.1634349 1.0083102
1600 26.222645 -16.78953 0.93944237 1.1966759 1.0304709
1700 25.711888 -15.792639 0.20021405 1.0969529 1.0083102
1800 24.412639 -13.217606 0.7091708 1.1966759 1.0083102
1900 25.644324 -13.020594 1.3661224 1.1412742 1.0083102
2000 24.556667 -13.580087 0.80121134 1.0637119 1.0083102
2100 25.23657 -13.560862 1.2349706 1.1191136 1.0193906
2200 26.456985 -13.804729 1.27046 1.1412742 1.0193906
2300 26.416685 -13.212452 1.4096744 1.1412742 1.0083102
2400 25.472914 -12.472527 1.5408641 1.1412742 1.0083102
2500 25.216305 -12.597474 0.84328282 1.1412742 1.0083102
2600 24.107024 -12.455199 1.5587978 1.2409972 1.0193906
2700 26.840175 -15.533209 1.2944973 1.1745152 1.0083102
2800 26.149759 -14.83948 4.0371126 1.0747922 1.0083102
2900 24.651151 -14.934342 2.7634302 1.0747922 1.0193906
3000 21.873123 -13.366381 -0.18605935 1.1301939 1.0083102
3100 19.974658 -10.620844 -0.16366371 1.0637119 1.0193906
3200 20.926558 -10.336663 -0.73116364 1.1080332 1.0083102
3300 20.473772 -10.588752 -0.66017168 1.0858726 1.0304709
3400 22.476649 -11.87982 1.0141731 1.0747922 1.0083102
3500 24.02361 -12.532787 1.4116935 1.1191136 1.0083102
3600 22.922792 -12.328391 -0.27783338 1.0969529 1.0083102
3700 21.772971 -10.716922 0.95739835 1.1523546 1.0083102
3800 21.597174 -10.839031 0.67958603 1.1191136 1.0193906
3900 21.883448 -11.258422 -0.40592732 1.0637119 1.0193906
4000 22.815486 -10.891868 1.6123322 1.1301939 1.0193906
4100 23.276599 -11.400134 0.65653972 1.0415512 1.0193906
4200 22.543441 -11.530245 0.074132899 1.1523546 1.0193906
4300 22.863379 -10.809451 0.27552824 1.1412742 1.0193906
4400 22.475073 -11.125735 1.7708547 1.1191136 1.0193906
4500 23.500125 -11.680919 0.91347563 1.0858726 1.0083102
4600 21.1812 -11.767353 0.095659263 1.1191136 1.0193906
4700 22.950759 -12.108158 0.083009642 1.1966759 1.0083102
4800 22.12306 -11.455893 0.47932308 1.1080332 1.0083102
4900 23.297573 -11.823246 0.93733479 1.0969529 1.0083102
5000 22.98743 -12.014836 0.36186604 1.1080332 1.0083102
5100 23.081456 -11.54226 0.73473004 1.0747922 1.0193906
5200 20.980311 -11.493036 -0.71555187 1.0637119 1.0193906
5300 21.468406 -11.18497 0.54579843 1.0304709 1.0193906
5400 22.75839 -10.856825 0.94407228 1.1191136 1.0083102
5500 22.705652 -12.112469 0.4753399 1.1412742 1.0083102
5600 22.391177 -12.530712 1.0180383 1.1412742 1.0083102
5700 21.832834 -11.368512 0.88281166 1.0415512 1.0083102
5800 22.850002 -11.948876 -0.46874747 1.0747922 1.0083102
5900 21.135991 -12.358431 -0.48932559 1.0526316 1.0193906
6000 22.071115 -11.433484 0.49653696 1.0747922 1.0304709
6100 21.91427 -11.458553 -0.030708226 1.0637119 1.0193906
6200 24.173206 -13.110269 -0.13661363 1.1412742 1.0083102
6300 22.204413 -11.373556 1.6254012 1.0747922 1.0304709
6400 23.259022 -11.634614 1.4472592 1.1412742 1.0193906
6500 22.185287 -11.606998 0.66488201 1.0415512 1.0083102
6600 21.329653 -10.989853 0.31700842 1.1301939 1.0083102
6700 21.903749 -10.335477 1.3749575 1.0637119 1.0083102
6800 21.188714 -10.545014 1.3448408 1.0415512 1.0083102
6900 22.683005 -11.254371 0.5048545 1.1523546 1.0193906
7000 21.224439 -9.7325551 0.71666112 1.0637119 1.0083102
7100 21.712624 -10.594397 0.3657261 1.0858726 1.0193906
7200 22.115857 -10.479237 0.95528164 1.0969529 1.0193906
7300 22.075732 -11.255 -0.35340754 1.0526316 1.0193906
7400 21.659767 -10.238454 -0.063639729 1.1523546 1.0083102
7500 21.966354 -10.654264 0.36298903 1.0747922 1.0083102
7600 21.541195 -11.151416 0.96453416 1.1080332 1.0193906
7700 23.517228 -12.266781 0.49603585 1.1523546 1.0193906
7800 21.665911 -11.832323 0.47104209 1.1080332 1.0083102
7900 23.469372 -12.358423 -0.757413 1.0747922 1.0193906
8000 21.699467 -11.462824 -0.73009236 1.0415512 1.0083102
8100 21.583783 -10.21474 0.98837038 1.0969529 1.0193906
8200 21.804998 -10.916922 -0.53268178 1.0858726 1.0083102
8300 21.291145 -10.875356 0.81277146 1.0858726 1.0193906
8400 21.939964 -10.726547 0.95830844 1.0415512 1.0193906
8500 23.600157 -11.041255 -0.14583876 1.0747922 1.0083102
8600 22.37787 -10.946852 1.0360646 1.0415512 1.0083102
8700 23.591205 -11.524803 1.1877377 1.0526316 1.0304709
8800 22.567007 -11.4629 0.4360461 1.0526316 1.0083102
8900 22.11289 -11.772849 -0.019132631 1.0304709 1.0193906
9000 22.814946 -11.705633 0.59029789 1.0747922 1.0083102
9100 22.58487 -11.431283 0.9884223 1.1634349 1.0083102
9200 23.283939 -11.825534 0.68358625 1.0637119 1.0083102
9300 23.292444 -11.365494 0.78631005 1.0526316 1.0083102
9400 21.748634 -10.16176 0.59185916 1.0969529 1.0083102
9500 21.644797 -10.00944 1.1450108 1.0637119 1.0304709
9600 23.01957 -10.683211 1.5735291 1.0637119 1.0193906
9700 21.207989 -10.344668 0.34401867 1.0969529 1.0083102
9800 22.035363 -10.849581 -0.14118639 1.0304709 1.0083102
9900 21.839653 -10.008407 0.96570633 1.0526316 1.0193906
10000 22.845561 -10.238723 0.74236932 1.0858726 1.0083102
Loop time of 0.812716 on 4 procs for 10000 steps with 361 atoms
Performance: 5315508.362 tau/day, 12304.418 timesteps/s
98.9% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.12434 | 0.13482 | 0.14506 | 2.5 | 16.59
Bond | 0.053339 | 0.058165 | 0.062916 | 1.9 | 7.16
Neigh | 0.28554 | 0.29233 | 0.29933 | 0.9 | 35.97
Comm | 0.16602 | 0.19226 | 0.21833 | 4.3 | 23.66
Output | 0.0017536 | 0.0019155 | 0.0022504 | 0.4 | 0.24
Modify | 0.040126 | 0.040341 | 0.04054 | 0.1 | 4.96
Other | | 0.09288 | | | 11.43
Nlocal: 90.25 ave 91 max 90 min
Histogram: 3 0 0 0 0 0 0 0 0 1
Nghost: 198.25 ave 206 max 191 min
Histogram: 1 1 0 0 0 0 0 0 1 1
Neighs: 667.75 ave 751 max 627 min
Histogram: 2 0 1 0 0 0 0 0 0 1
Total # of neighbors = 2671
Ave neighs/atom = 7.39889
Ave special neighs/atom = 5.61773
Neighbor list builds = 4832
Dangerous builds = 0
Total wall time: 0:00:00

View File

@ -1,4 +1,4 @@
LAMMPS (15 Feb 2016)
LAMMPS (26 Sep 2016)
# 2d circle of particles inside a box with LJ walls
variable b index 0
@ -91,7 +91,7 @@ Neighbor list info ...
ghost atom cutoff = 2.8
binsize = 1.4 -> bins = 42 29 1
Memory usage per processor = 6.41878 Mbytes
Step Temp E_pair Press 10[3] 10
Step Temp E_pair Press f_10[3] f_10
0 0.57437856 0 0.26099453 3.2354571 1.0526316
100 0.29756515 0 0.10149401 1.0193906 1.0083102
200 0.35394813 0 0.075159099 1.0304709 1.0083102
@ -108,9 +108,9 @@ Step Temp E_pair Press 10[3] 10
1300 0.32952819 0 0.124902 1.0083102 1.0083102
1400 0.34497365 0 0.12662081 1.0193906 1.0083102
1500 0.33429243 0 0.096230972 1.0526316 1.0193906
1600 0.33765387 0 0.025800542 1.0304709 1.0083102
1700 0.35134464 0 -0.04422593 1.0415512 1.0193906
1800 0.35003859 0 -0.096745576 1.0304709 1.0193906
1600 0.33765387 0 0.025800542 1.0304709 1.0193906
1700 0.35134464 0 -0.04422593 1.0415512 1.0083102
1800 0.35003859 0 -0.096745576 1.0304709 1.0083102
1900 0.33839618 0 -0.095465943 1.0193906 1.0083102
2000 0.33732078 0 -0.094652802 1.0083102 1.0083102
2100 0.34552238 0 -0.076729261 1.0304709 1.0083102
@ -179,7 +179,7 @@ Step Temp E_pair Press 10[3] 10
8400 0.30619282 0 -0.12952879 1.0193906 1.0193906
8500 0.34446484 0 -0.098084709 1.0083102 1.0083102
8600 0.33761673 0 -0.07069818 1.0193906 1.0083102
8700 0.34495452 0 -0.022458056 1.0193906 1.0083102
8700 0.34495452 0 -0.022458056 1.0193906 1.0193906
8800 0.33502983 0 0.027742411 1.0304709 1.0083102
8900 0.35418591 0 0.092390134 1.0083102 1.0193906
9000 0.31648387 0 0.12467398 1.0193906 1.0083102
@ -192,12 +192,12 @@ Step Temp E_pair Press 10[3] 10
9700 0.32088235 0 -0.12027075 1.0193906 1.0083102
9800 0.3320823 0 -0.11602794 1.0415512 1.0083102
9900 0.33916442 0 -0.080281044 1.0083102 1.0083102
10000 0.34852268 0 -0.01000914 1.0193906 1.0193906
10000 0.34852268 0 -0.01000914 1.0193906 1.0083102
10100 0.32955942 0 0.04258493 1.0083102 1.0083102
10200 0.34487898 0 0.086971308 1.0304709 1.0193906
10200 0.34487898 0 0.086971308 1.0304709 1.0083102
10300 0.32325593 0 0.11558149 1.0304709 1.0193906
10400 0.30927871 0 0.12239437 1.0083102 1.0083102
10500 0.33176799 0 0.12285937 1.0193906 1.0193906
10500 0.33176799 0 0.12285937 1.0193906 1.0083102
10600 0.35120027 0 0.084897432 1.0083102 1.0083102
10700 0.33129697 0 0.0053089279 1.0193906 1.0193906
10800 0.36028769 0 -0.04280715 1.0193906 1.0083102
@ -214,7 +214,7 @@ Step Temp E_pair Press 10[3] 10
11900 0.33836678 0 0.067253864 1.0193906 1.0193906
12000 0.34853314 0 0.03201448 1.0193906 1.0083102
12100 0.34600048 0 -0.034833402 1.0304709 1.0083102
12200 0.33145631 0 -0.09865675 1.0193906 1.0193906
12200 0.33145631 0 -0.09865675 1.0193906 1.0083102
12300 0.32848884 0 -0.1248489 1.0193906 1.0193906
12400 0.3321344 0 -0.11266575 1.0083102 1.0083102
12500 0.32622305 0 -0.061634993 1.0304709 1.0083102
@ -225,11 +225,11 @@ Step Temp E_pair Press 10[3] 10
13000 0.31993287 0 0.13879926 1.0193906 1.0193906
13100 0.3422918 0 0.11978905 1.0083102 1.0083102
13200 0.33055236 0 0.062620483 1.0193906 1.0083102
13300 0.34652207 0 0.0043833459 1.0304709 1.0193906
13300 0.34652207 0 0.0043833459 1.0304709 1.0083102
13400 0.33574661 0 -0.04691024 1.0304709 1.0083102
13500 0.33940837 0 -0.074241604 1.0304709 1.0083102
13600 0.32093414 0 -0.1078027 1.0193906 1.0083102
13700 0.34336597 0 -0.10544097 1.0193906 1.0083102
13600 0.32093414 0 -0.1078027 1.0193906 1.0193906
13700 0.34336597 0 -0.10544097 1.0193906 1.0193906
13800 0.35806461 0 -0.072531559 1.0193906 1.0083102
13900 0.35209713 0 -0.018851408 1.0083102 1.0083102
14000 0.35702629 0 0.061046366 1.0083102 1.0083102
@ -243,13 +243,13 @@ Step Temp E_pair Press 10[3] 10
14800 0.33679845 0 -0.10067728 1.0193906 1.0193906
14900 0.32790966 0 -0.10925568 1.0193906 1.0083102
15000 0.34208495 0 -0.09568004 1.0193906 1.0083102
15100 0.33647529 0 -0.055652929 1.0083102 1.0193906
15100 0.33647529 0 -0.055652929 1.0083102 1.0083102
15200 0.35328398 0 -0.020236536 1.0193906 1.0193906
15300 0.34252669 0 0.026434179 1.0083102 1.0193906
15400 0.34409435 0 0.094410599 1.0304709 1.0083102
15500 0.32288994 0 0.12034455 1.0415512 1.0193906
15600 0.32109689 0 0.13645185 1.0193906 1.0193906
15700 0.33681572 0 0.098607746 1.0415512 1.0083102
15600 0.32109689 0 0.13645185 1.0193906 1.0083102
15700 0.33681572 0 0.098607746 1.0415512 1.0193906
15800 0.33635195 0 0.05570715 1.0193906 1.0193906
15900 0.34289757 0 0.013849092 1.0304709 1.0083102
16000 0.34225547 0 -0.035597548 1.0304709 1.0083102
@ -261,7 +261,7 @@ Step Temp E_pair Press 10[3] 10
16600 0.35109001 0 0.041251169 1.0304709 1.0083102
16700 0.34336905 0 0.077996627 1.0193906 1.0083102
16800 0.33277414 0 0.11053634 1.0083102 1.0083102
16900 0.32183338 0 0.11680626 1.0193906 1.0083102
16900 0.32183338 0 0.11680626 1.0193906 1.0193906
17000 0.34044352 0 0.10806555 1.0193906 1.0083102
17100 0.32967873 0 0.067759786 1.0304709 1.0193906
17200 0.36172278 0 -0.0048631904 1.0304709 1.0083102
@ -293,17 +293,17 @@ Step Temp E_pair Press 10[3] 10
19800 0.34880695 0 0.042483681 1.0193906 1.0083102
19900 0.33903644 0 0.034788638 1.0083102 1.0193906
20000 0.32590125 0 0.011383785 1.0193906 1.0083102
20100 0.30358859 0 0.0030743554 1.0526316 1.0083102
20100 0.30358859 0 0.0030743554 1.0526316 1.0193906
20200 0.31830224 0 0.017637826 1.0193906 1.0193906
20300 0.34195438 0 0.072811099 1.0304709 1.0193906
20400 0.31249563 0 0.10063541 1.0415512 1.0083102
20500 0.31544938 0 0.1405794 1.0083102 1.0083102
20600 0.30071644 0 0.12763486 1.0193906 1.0193906
20700 0.2890265 0 0.1136651 1.0083102 1.0083102
20700 0.2890265 0 0.1136651 1.0083102 1.0193906
20800 0.28962296 0 0.094481978 1.0193906 1.0083102
20900 0.29447212 0 0.0967165 1.0193906 1.0193906
21000 0.31159961 0 0.067307231 1.0083102 1.0193906
21100 0.30490648 0 0.017689358 1.0083102 1.0304709
21000 0.31159961 0 0.067307231 1.0083102 1.0083102
21100 0.30490648 0 0.017689358 1.0083102 1.0193906
21200 0.30687262 0 -0.016055512 1.0193906 1.0193906
21300 0.30083286 0 -0.0014988997 1.0193906 1.0083102
21400 0.32070426 0 0.015960302 1.0083102 1.0083102
@ -314,7 +314,7 @@ Step Temp E_pair Press 10[3] 10
21900 0.32451958 0 0.068935768 1.0304709 1.0193906
22000 0.35219298 0 0.067161227 1.0193906 1.0193906
22100 0.34857705 0 0.032731746 1.0193906 1.0083102
22200 0.34750227 0 0.0056917695 1.0193906 1.0083102
22200 0.34750227 0 0.0056917695 1.0193906 1.0193906
22300 0.34766017 0 -0.0027090483 1.0193906 1.0083102
22400 0.33426062 0 -0.023196063 1.0304709 1.0193906
22500 0.34174625 0 -0.025019717 1.0083102 1.0083102
@ -328,11 +328,11 @@ Step Temp E_pair Press 10[3] 10
23300 0.32965664 0 0.035989589 1.0193906 1.0083102
23400 0.30927749 0 0.024581106 1.0193906 1.0083102
23500 0.32890632 0 0.01092479 1.0304709 1.0193906
23600 0.34137438 0 0.0094839745 1.0193906 1.0083102
23600 0.34137438 0 0.0094839745 1.0193906 1.0193906
23700 0.34512638 0 -0.012392771 1.0304709 1.0193906
23800 0.31781354 0 -0.012908449 1.0193906 1.0193906
23900 0.32405513 0 -0.015018071 1.0415512 1.0193906
24000 0.33549728 0 -0.012812915 1.0193906 1.0083102
23900 0.32405513 0 -0.015018071 1.0415512 1.0083102
24000 0.33549728 0 -0.012812915 1.0193906 1.0193906
24100 0.31368736 0 -0.020818372 1.0304709 1.0193906
24200 0.33533836 0 0.0056121057 1.0083102 1.0193906
24300 0.32530627 0 0.018183931 1.0415512 1.0083102
@ -352,12 +352,12 @@ Step Temp E_pair Press 10[3] 10
25700 0.34048065 0 0.022513032 1.0193906 1.0193906
25800 0.33029079 0 0.038733531 1.0193906 1.0083102
25900 0.33031324 0 0.026156982 1.0304709 1.0193906
26000 0.32967371 0 0.028727383 1.0083102 1.0083102
26000 0.32967371 0 0.028727383 1.0083102 1.0193906
26100 0.33775718 0 0.015607478 1.0083102 1.0193906
26200 0.35097144 0 0.012291703 1.0083102 1.0083102
26300 0.34303792 0 0.00094823191 1.0083102 1.0193906
26400 0.33632665 0 -0.0026904889 1.0193906 1.0193906
26500 0.33580127 0 -0.0074168555 1.0193906 1.0193906
26500 0.33580127 0 -0.0074168555 1.0193906 1.0083102
26600 0.33063188 0 -0.020378601 1.0083102 1.0193906
26700 0.33581846 0 -0.00084397268 1.0083102 1.0193906
26800 0.32998532 0 0.015932208 1.0304709 1.0193906
@ -375,12 +375,12 @@ Step Temp E_pair Press 10[3] 10
28000 0.32300727 0 -0.0004153384 1.0304709 1.0083102
28100 0.32147461 0 -0.0058543412 1.0083102 1.0083102
28200 0.35532383 0 0.013646951 1.0304709 1.0083102
28300 0.31507942 0 0.026532255 1.0415512 1.0193906
28300 0.31507942 0 0.026532255 1.0415512 1.0083102
28400 0.32711006 0 0.033214981 1.0193906 1.0083102
28500 0.34472462 0 0.028050837 1.0304709 1.0193906
28600 0.33708059 0 0.019115676 1.0083102 1.0083102
28700 0.34478087 0 0.023743689 1.0304709 1.0083102
28800 0.34546686 0 0.0081772997 1.0304709 1.0193906
28700 0.34478087 0 0.023743689 1.0304709 1.0193906
28800 0.34546686 0 0.0081772997 1.0304709 1.0083102
28900 0.34004886 0 0.017771865 1.0415512 1.0193906
29000 0.33604232 0 -0.010505671 1.0304709 1.0193906
29100 0.33541374 0 -0.016273261 1.0083102 1.0083102
@ -411,14 +411,14 @@ Step Temp E_pair Press 10[3] 10
31600 0.34273493 0 -0.013456537 1.0083102 1.0083102
31700 0.32723905 0 -0.019243766 1.0193906 1.0083102
31800 0.33636488 0 0.0027814902 1.0083102 1.0083102
31900 0.32834805 0 0.00706877 1.0083102 1.0083102
31900 0.32834805 0 0.00706877 1.0083102 1.0193906
32000 0.33995148 0 0.0018383309 1.0193906 1.0193906
32100 0.33412282 0 0.0076455933 1.0083102 1.0083102
32200 0.34334884 0 0.023586129 1.0083102 1.0083102
32300 0.32778925 0 0.020564321 1.0193906 1.0083102
32400 0.33163443 0 0.038878463 1.0193906 1.0083102
32500 0.32290345 0 0.022247461 1.0193906 1.0193906
32600 0.34113954 0 0.010966365 1.0304709 1.0083102
32600 0.34113954 0 0.010966365 1.0304709 1.0193906
32700 0.33390633 0 0.0037777555 1.0193906 1.0083102
32800 0.34385341 0 0.010556575 1.0193906 1.0193906
32900 0.32137047 0 0.00022027143 1.0526316 1.0193906
@ -443,15 +443,15 @@ Step Temp E_pair Press 10[3] 10
34800 0.33902329 0 0.030037037 1.0415512 1.0193906
34900 0.3216153 0 0.027996689 1.0304709 1.0083102
35000 0.32701056 0 0.024778517 1.0193906 1.0193906
35100 0.3124942 0 0.011316548 1.0193906 1.0304709
35100 0.3124942 0 0.011316548 1.0193906 1.0193906
35200 0.34486416 0 0.011670127 1.0193906 1.0193906
35300 0.33275353 0 0.020491246 1.0193906 1.0193906
35400 0.33618763 0 0.014678874 1.0083102 1.0083102
35400 0.33618763 0 0.014678874 1.0083102 1.0193906
35500 0.32352282 0 -0.018568683 1.0193906 1.0193906
35600 0.32617903 0 -0.012796912 1.0193906 1.0193906
35700 0.32378048 0 -0.021318585 1.0193906 1.0083102
35800 0.3371086 0 -0.0023678632 1.0193906 1.0193906
35900 0.33818476 0 0.011197742 1.0193906 1.0193906
35900 0.33818476 0 0.011197742 1.0193906 1.0083102
36000 0.35142144 0 0.022520935 1.0083102 1.0193906
36100 0.35147297 0 0.020277852 1.0193906 1.0083102
36200 0.33489465 0 0.014564878 1.0415512 1.0083102
@ -464,10 +464,10 @@ Step Temp E_pair Press 10[3] 10
36900 0.35003816 0 -0.0021184393 1.0083102 1.0193906
37000 0.32965041 0 -0.020900951 1.0193906 1.0083102
37100 0.34653095 0 -0.013667977 1.0193906 1.0083102
37200 0.35019871 0 -0.0071740923 1.0083102 1.0304709
37200 0.35019871 0 -0.0071740923 1.0083102 1.0193906
37300 0.34859745 0 0.02006041 1.0304709 1.0083102
37400 0.35739859 0 0.020892822 1.0193906 1.0083102
37500 0.34128859 0 0.041072111 1.0193906 1.0193906
37500 0.34128859 0 0.041072111 1.0193906 1.0083102
37600 0.33781905 0 0.023376738 1.0193906 1.0083102
37700 0.32961874 0 0.030953741 1.0193906 1.0083102
37800 0.343987 0 0.029579795 1.0083102 1.0083102
@ -481,7 +481,7 @@ Step Temp E_pair Press 10[3] 10
38600 0.32322402 0 0.053453832 1.0193906 1.0304709
38700 0.33843057 0 0.076264534 1.0083102 1.0193906
38800 0.31350741 0 0.064733869 1.0415512 1.0083102
38900 0.31943061 0 0.067836769 1.0304709 1.0193906
38900 0.31943061 0 0.067836769 1.0304709 1.0083102
39000 0.33775583 0 0.0788316 1.0193906 1.0193906
39100 0.34256036 0 0.075874935 1.0083102 1.0193906
39200 0.33128527 0 0.071610976 1.0193906 1.0083102
@ -491,23 +491,23 @@ Step Temp E_pair Press 10[3] 10
39600 0.34000737 0 0.016149089 1.0304709 1.0083102
39700 0.34587892 0 0.021619621 1.0526316 1.0083102
39800 0.34878036 0 0.0092881327 1.0083102 1.0193906
39900 0.35225411 0 -0.011341599 1.0083102 1.0083102
39900 0.35225411 0 -0.011341599 1.0083102 1.0193906
40000 0.36309266 0 0.0050869295 1.0304709 1.0083102
Loop time of 1.06031 on 4 procs for 40000 steps with 361 atoms
Loop time of 1.07961 on 4 procs for 40000 steps with 361 atoms
Performance: 16297104.069 tau/day, 37724.778 timesteps/s
99.2% CPU use with 4 MPI tasks x no OpenMP threads
Performance: 16005824.195 tau/day, 37050.519 timesteps/s
99.1% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.019866 | 0.021036 | 0.024189 | 1.3 | 1.98
Bond | 0.21436 | 0.24183 | 0.27259 | 5.1 | 22.81
Neigh | 0.16022 | 0.16068 | 0.16101 | 0.1 | 15.15
Comm | 0.2742 | 0.31331 | 0.3498 | 5.6 | 29.55
Output | 0.0070348 | 0.0075188 | 0.0087383 | 0.8 | 0.71
Modify | 0.14238 | 0.14861 | 0.15484 | 1.3 | 14.02
Other | | 0.1673 | | | 15.78
Pair | 0.019289 | 0.021061 | 0.024797 | 1.5 | 1.95
Bond | 0.21005 | 0.23732 | 0.26838 | 5.0 | 21.98
Neigh | 0.15978 | 0.16143 | 0.16328 | 0.4 | 14.95
Comm | 0.2817 | 0.32626 | 0.36457 | 5.8 | 30.22
Output | 0.0069985 | 0.0075181 | 0.0087821 | 0.8 | 0.70
Modify | 0.1463 | 0.15235 | 0.16128 | 1.5 | 14.11
Other | | 0.1737 | | | 16.09
Nlocal: 90.25 ave 91 max 89 min
Histogram: 1 0 0 0 0 1 0 0 0 2

View File

@ -0,0 +1,221 @@
LAMMPS (26 Sep 2016)
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
lattice fcc 0.8442
Lattice spacing in x,y,z = 1.6796 1.6796 1.6796
region box block 0 10 0 10 0 10
create_box 3 box
Created orthogonal box = (0 0 0) to (16.796 16.796 16.796)
4 by 1 by 1 MPI processor grid
create_atoms 1 box
Created 4000 atoms
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
1400 settings made for type
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
fix p all property/atom d_WEIGHT
compute p all property/atom d_WEIGHT
fix 0 all balance 50 1.0 shift x 10 1.0 weight time 1.0 weight store WEIGHT
variable maximb equal f_0[1]
variable iter equal f_0[2]
variable prev equal f_0[3]
variable final equal f_0
#fix 3 all print 50 "${iter} ${prev} ${final} ${maximb}"
fix 1 all nve
#dump id all atom 50 dump.melt
#dump id all custom 50 dump.lammpstrj id type x y z c_p
#dump 2 all image 25 image.*.jpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 500
Neighbor list info ...
1 neighbor list requests
update every 2 steps, delay 4 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 5.3
ghost atom cutoff = 5.3
binsize = 2.65 -> bins = 7 7 7
Memory usage per processor = 3.0442 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
0 1 -6.9453205 0 -5.4456955 -5.6812358 4738.2137
50 0.48653399 -6.1788509 0 -5.4492324 -1.6017778 4738.2137
100 0.53411175 -6.249885 0 -5.4489177 -1.9317606 4738.2137
150 0.53646658 -6.2527206 0 -5.4482219 -1.9689568 4738.2137
200 0.54551611 -6.2656326 0 -5.4475631 -2.0042104 4738.2137
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995 4738.2137
300 0.5477618 -6.2678071 0 -5.4463698 -1.997842 4738.2137
350 0.55600296 -6.2801497 0 -5.4463538 -2.0394056 4738.2137
400 0.53241503 -6.2453665 0 -5.4469436 -1.878594 4738.2137
450 0.5439158 -6.2623 0 -5.4466302 -1.9744161 4738.2137
500 0.55526241 -6.2793396 0 -5.4466542 -2.0595015 4738.2137
Loop time of 2.31899 on 4 procs for 500 steps with 4000 atoms
Performance: 93143.824 tau/day, 215.611 timesteps/s
99.4% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 1.1238 | 1.43 | 1.6724 | 19.4 | 61.66
Neigh | 0.26414 | 0.3845 | 0.55604 | 20.2 | 16.58
Comm | 0.36444 | 0.48475 | 0.61759 | 15.3 | 20.90
Output | 0.00027871 | 0.00032145 | 0.00035334 | 0.2 | 0.01
Modify | 0.0064867 | 0.0086303 | 0.011487 | 2.3 | 0.37
Other | | 0.01078 | | | 0.46
Nlocal: 1000 ave 1565 max 584 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Nghost: 8752 ave 9835 max 8078 min
Histogram: 2 0 0 0 0 1 0 0 0 1
Neighs: 149308 ave 161748 max 133300 min
Histogram: 1 0 0 1 0 0 0 0 1 1
Total # of neighbors = 597231
Ave neighs/atom = 149.308
Neighbor list builds = 50
Dangerous builds = 0
run 500
Memory usage per processor = 3.06519 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
500 0.55526241 -6.2793396 0 -5.4466542 -2.0595015 4738.2137
550 0.53879347 -6.2554274 0 -5.4474393 -1.9756834 4738.2137
600 0.54275982 -6.2616799 0 -5.4477437 -1.9939993 4738.2137
650 0.54526651 -6.265098 0 -5.4474027 -2.0303672 4738.2137
700 0.54369381 -6.263201 0 -5.4478642 -1.9921967 4738.2137
750 0.54452777 -6.2640839 0 -5.4474964 -1.9658675 4738.2137
800 0.55061744 -6.2725556 0 -5.4468359 -2.0100922 4738.2137
850 0.55371614 -6.2763992 0 -5.4460326 -2.0065329 4738.2137
900 0.54756622 -6.2668303 0 -5.4456863 -1.9796122 4738.2137
950 0.54791593 -6.2673161 0 -5.4456477 -1.9598278 4738.2137
1000 0.54173198 -6.2586101 0 -5.4462153 -1.9007466 4738.2137
Loop time of 2.32391 on 4 procs for 500 steps with 4000 atoms
Performance: 92946.753 tau/day, 215.155 timesteps/s
99.4% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 1.1054 | 1.4081 | 1.6402 | 19.8 | 60.59
Neigh | 0.28061 | 0.4047 | 0.57291 | 19.7 | 17.41
Comm | 0.38485 | 0.4918 | 0.62503 | 15.5 | 21.16
Output | 0.00028014 | 0.00031483 | 0.00032997 | 0.1 | 0.01
Modify | 0.0064781 | 0.0084658 | 0.011106 | 2.2 | 0.36
Other | | 0.01051 | | | 0.45
Nlocal: 1000 ave 1560 max 593 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Nghost: 8716.25 ave 9788 max 8009 min
Histogram: 2 0 0 0 0 1 0 0 0 1
Neighs: 150170 ave 164293 max 129469 min
Histogram: 1 0 0 0 1 0 0 0 0 2
Total # of neighbors = 600678
Ave neighs/atom = 150.169
Neighbor list builds = 53
Dangerous builds = 0
fix 0 all balance 50 1.0 shift x 5 1.0 weight neigh 0.5 weight time 0.66 weight store WEIGHT
run 500
Memory usage per processor = 3.06519 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
1000 0.54173198 -6.2586101 0 -5.4462153 -1.9007466 4738.2137
1050 0.54629742 -6.2657526 0 -5.4465113 -1.945821 4738.2137
1100 0.55427881 -6.2781733 0 -5.446963 -2.0021027 4738.2137
1150 0.54730654 -6.267257 0 -5.4465025 -1.9420678 4738.2137
1200 0.5388281 -6.2547963 0 -5.4467562 -1.890178 4738.2137
1250 0.54848768 -6.2694237 0 -5.4468979 -1.9636797 4738.2137
1300 0.54134321 -6.2590728 0 -5.447261 -1.9170271 4738.2137
1350 0.53564389 -6.2501521 0 -5.4468871 -1.8642306 4738.2137
1400 0.53726924 -6.2518379 0 -5.4461355 -1.8544028 4738.2137
1450 0.54525935 -6.2632653 0 -5.4455808 -1.9072158 4738.2137
1500 0.54223346 -6.2591057 0 -5.4459588 -1.8866985 4738.2137
Loop time of 2.13659 on 4 procs for 500 steps with 4000 atoms
Performance: 101095.806 tau/day, 234.018 timesteps/s
99.6% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 1.3372 | 1.3773 | 1.4155 | 2.5 | 64.46
Neigh | 0.22376 | 0.37791 | 0.57496 | 25.4 | 17.69
Comm | 0.20357 | 0.36123 | 0.52777 | 25.5 | 16.91
Output | 0.00029254 | 0.00034094 | 0.00039411 | 0.2 | 0.02
Modify | 0.0056622 | 0.0082379 | 0.01147 | 2.9 | 0.39
Other | | 0.01156 | | | 0.54
Nlocal: 1000 ave 1629 max 525 min
Histogram: 2 0 0 0 0 0 0 1 0 1
Nghost: 8647.25 ave 9725 max 7935 min
Histogram: 2 0 0 0 0 1 0 0 0 1
Neighs: 150494 ave 161009 max 143434 min
Histogram: 1 1 0 0 1 0 0 0 0 1
Total # of neighbors = 601974
Ave neighs/atom = 150.494
Neighbor list builds = 51
Dangerous builds = 0
run 500
Memory usage per processor = 3.06519 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
1500 0.54223346 -6.2591057 0 -5.4459588 -1.8866985 4738.2137
1550 0.55327017 -6.2750125 0 -5.4453148 -1.9506584 4738.2137
1600 0.54419003 -6.2612622 0 -5.4451812 -1.8559437 4738.2137
1650 0.54710034 -6.2661978 0 -5.4457525 -1.8882831 4738.2137
1700 0.53665689 -6.2504958 0 -5.4457117 -1.8068004 4738.2137
1750 0.54864706 -6.2681124 0 -5.4453476 -1.8662646 4738.2137
1800 0.54476202 -6.2615083 0 -5.4445696 -1.8352824 4738.2137
1850 0.54142953 -6.2555505 0 -5.4436093 -1.8005654 4738.2137
1900 0.53992431 -6.254135 0 -5.444451 -1.7768688 4738.2137
1950 0.54665954 -6.2640971 0 -5.4443128 -1.7947032 4738.2137
2000 0.54557798 -6.2625416 0 -5.4443793 -1.8072514 4738.2137
Loop time of 2.17499 on 4 procs for 500 steps with 4000 atoms
Performance: 99310.978 tau/day, 229.887 timesteps/s
99.6% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 1.3333 | 1.3705 | 1.397 | 2.0 | 63.01
Neigh | 0.24071 | 0.41014 | 0.62928 | 26.6 | 18.86
Comm | 0.19069 | 0.37486 | 0.53972 | 26.6 | 17.23
Output | 0.00031614 | 0.00035483 | 0.00040388 | 0.2 | 0.02
Modify | 0.0057304 | 0.0083074 | 0.01159 | 2.8 | 0.38
Other | | 0.01083 | | | 0.50
Nlocal: 1000 ave 1628 max 523 min
Histogram: 2 0 0 0 0 0 0 1 0 1
Nghost: 8641.5 ave 9769 max 7941 min
Histogram: 2 0 0 0 1 0 0 0 0 1
Neighs: 151654 ave 163181 max 145045 min
Histogram: 2 0 0 0 1 0 0 0 0 1
Total # of neighbors = 606616
Ave neighs/atom = 151.654
Neighbor list builds = 56
Dangerous builds = 0
Total wall time: 0:00:09

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@ -0,0 +1,188 @@
LAMMPS (26 Sep 2016)
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
variable factor index 1.0
lattice fcc 0.8442
Lattice spacing in x,y,z = 1.6796 1.6796 1.6796
region box block 0 10 0 10 0 10
create_box 3 box
Created orthogonal box = (0 0 0) to (16.796 16.796 16.796)
4 by 1 by 1 MPI processor grid
create_atoms 1 box
Created 4000 atoms
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
1400 settings made for type
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
group fast type 1
2600 atoms in group fast
group slow type 2
1400 atoms in group slow
balance 1.0 shift x 5 1.1 weight time 1.0 # out unweighted.txt
Neighbor list info ...
1 neighbor list requests
update every 2 steps, delay 4 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 5.3
ghost atom cutoff = 5.3
binsize = 2.65 -> bins = 7 7 7
rebalancing time: 0.000447989 seconds
iteration count = 2
time weight factor: 1
initial/final max load/proc = 1200 1200
initial/final imbalance factor = 1.2 1.2
x cuts: 0 0.25 0.5 0.6875 1
y cuts: 0 1
z cuts: 0 1
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250
Memory usage per processor = 2.77892 Mbytes
Step Temp E_pair E_mol TotEng Press
0 1 -6.9453205 0 -5.4456955 -5.6812358
50 0.48653399 -6.1788509 0 -5.4492324 -1.6017778
100 0.53411175 -6.249885 0 -5.4489177 -1.9317606
150 0.53646658 -6.2527206 0 -5.4482219 -1.9689568
200 0.54551611 -6.2656326 0 -5.4475631 -2.0042104
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995
Loop time of 1.42972 on 4 procs for 250 steps with 4000 atoms
Performance: 75539.346 tau/day, 174.860 timesteps/s
98.9% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.34009 | 0.65732 | 1.1925 | 42.3 | 45.98
Neigh | 0.1324 | 0.17067 | 0.19962 | 6.6 | 11.94
Comm | 0.03502 | 0.5933 | 0.88766 | 45.1 | 41.50
Output | 0.0001173 | 0.00012749 | 0.00013947 | 0.1 | 0.01
Modify | 0.0024164 | 0.0032778 | 0.0040991 | 1.0 | 0.23
Other | | 0.00502 | | | 0.35
Nlocal: 1000 ave 1263 max 712 min
Histogram: 1 0 0 0 1 0 1 0 0 1
Nghost: 8711.5 ave 9045 max 8325 min
Histogram: 1 0 0 0 0 1 1 0 0 1
Neighs: 149325 ave 275165 max 77227 min
Histogram: 2 0 0 0 1 0 0 0 0 1
Total # of neighbors = 597299
Ave neighs/atom = 149.325
Neighbor list builds = 23
Dangerous builds = 0
balance 1.0 shift x 5 1.1 weight time 1.0 # out unweighted.txt
rebalancing time: 0.000354052 seconds
iteration count = 4
time weight factor: 1
initial/final max load/proc = 1673.83 1097.18
initial/final imbalance factor = 1.67383 1.09718
x cuts: 0 0.296875 0.453125 0.605469 1
y cuts: 0 1
z cuts: 0 1
run 250
Memory usage per processor = 2.7999 Mbytes
Step Temp E_pair E_mol TotEng Press
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995
300 0.5477618 -6.2678071 0 -5.4463698 -1.997842
350 0.55600296 -6.2801497 0 -5.4463538 -2.0394056
400 0.53241503 -6.2453665 0 -5.4469436 -1.878594
450 0.5439158 -6.2623 0 -5.4466302 -1.9744161
500 0.55526241 -6.2793396 0 -5.4466542 -2.0595015
Loop time of 1.10579 on 4 procs for 250 steps with 4000 atoms
Performance: 97667.971 tau/day, 226.083 timesteps/s
99.2% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.47383 | 0.65917 | 0.86391 | 21.2 | 59.61
Neigh | 0.12071 | 0.17144 | 0.23972 | 11.6 | 15.50
Comm | 0.10061 | 0.26652 | 0.39924 | 24.8 | 24.10
Output | 0.00012779 | 0.00014991 | 0.00018096 | 0.2 | 0.01
Modify | 0.0021801 | 0.0032307 | 0.0047314 | 1.8 | 0.29
Other | | 0.005272 | | | 0.48
Nlocal: 1000 ave 1479 max 635 min
Histogram: 1 1 0 0 0 0 1 0 0 1
Nghost: 8759.5 ave 9918 max 7969 min
Histogram: 2 0 0 0 0 1 0 0 0 1
Neighs: 149356 ave 195930 max 110209 min
Histogram: 2 0 0 0 0 0 0 1 0 1
Total # of neighbors = 597424
Ave neighs/atom = 149.356
Neighbor list builds = 24
Dangerous builds = 0
balance 1.0 shift x 5 1.1 weight time 1.0 # out unweighted.txt
rebalancing time: 0.000221968 seconds
iteration count = 4
time weight factor: 1
initial/final max load/proc = 1200.06 1176.79
initial/final imbalance factor = 1.20006 1.17679
x cuts: 0 0.306641 0.443359 0.595947 1
y cuts: 0 1
z cuts: 0 1
run 250
Memory usage per processor = 2.7999 Mbytes
Step Temp E_pair E_mol TotEng Press
500 0.55526241 -6.2793396 0 -5.4466542 -2.0595015
550 0.53879347 -6.2554274 0 -5.4474393 -1.9756834
600 0.54275982 -6.2616799 0 -5.4477437 -1.9939993
650 0.54526651 -6.265098 0 -5.4474027 -2.0303672
700 0.54369381 -6.263201 0 -5.4478642 -1.9921967
750 0.54452777 -6.2640839 0 -5.4474964 -1.9658675
Loop time of 1.10659 on 4 procs for 250 steps with 4000 atoms
Performance: 97597.325 tau/day, 225.920 timesteps/s
99.5% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.59596 | 0.67205 | 0.81576 | 10.9 | 60.73
Neigh | 0.098 | 0.18193 | 0.2707 | 16.7 | 16.44
Comm | 0.15524 | 0.24375 | 0.40352 | 19.4 | 22.03
Output | 0.00013709 | 0.00017041 | 0.00020695 | 0.2 | 0.02
Modify | 0.0016487 | 0.0032793 | 0.0050011 | 2.4 | 0.30
Other | | 0.005414 | | | 0.49
Nlocal: 1000 ave 1580 max 493 min
Histogram: 1 1 0 0 0 0 0 1 0 1
Nghost: 8736.5 ave 9808 max 8009 min
Histogram: 2 0 0 0 0 1 0 0 0 1
Neighs: 149124 ave 178715 max 132100 min
Histogram: 2 0 0 1 0 0 0 0 0 1
Total # of neighbors = 596497
Ave neighs/atom = 149.124
Neighbor list builds = 25
Dangerous builds = 0
Total wall time: 0:00:03

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@ -0,0 +1,202 @@
LAMMPS (26 Sep 2016)
# 2d circle of particles inside a box with LJ walls
variable b index 0
variable x index 50
variable y index 20
variable d index 20
variable v index 5
variable w index 2
units lj
dimension 2
atom_style atomic
boundary f f p
lattice hex 0.85
Lattice spacing in x,y,z = 1.16553 2.01877 1.16553
region box block 0 $x 0 $y -0.5 0.5
region box block 0 50 0 $y -0.5 0.5
region box block 0 50 0 20 -0.5 0.5
create_box 1 box
Created orthogonal box = (0 0 -0.582767) to (58.2767 40.3753 0.582767)
2 by 2 by 1 MPI processor grid
region circle sphere $(v_d/2+1) $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 $(v_d/2/sqrt(3.0)+1) 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 $(v_d/2)
region circle sphere 11 6.7735026918962581988 0.0 10
create_atoms 1 region circle
Created 361 atoms
mass 1 1.0
velocity all create 0.5 87287 loop geom
velocity all set $v $w 0 sum yes
velocity all set 5 $w 0 sum yes
velocity all set 5 2 0 sum yes
pair_style lj/cut 2.5
pair_coeff 1 1 10.0 1.0 2.5
neighbor 0.3 bin
neigh_modify delay 0 every 1 check yes
fix 1 all nve
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi $x 1 1 2.5
fix 2 all wall/lj93 xlo 0.0 1 1 2.5 xhi 50 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi $y 1 1 2.5
fix 3 all wall/lj93 ylo 0.0 1 1 2.5 yhi 20 1 1 2.5
comm_style tiled
fix 10 all balance 50 0.9 rcb
#compute 1 all property/atom proc
#variable p atom c_1%10
#dump 2 all custom 50 tmp.dump id v_p x y z
#dump 3 all image 50 image.*.jpg v_p type # adiam 1.0 view 0 0 zoom 1.8 subbox yes 0.02
#variable colors string # "red green blue yellow white # purple pink orange lime gray"
#dump_modify 3 pad 5 amap 0 10 sa 1 10 ${colors}
thermo_style custom step temp epair press f_10[3] f_10
thermo 100
run 10000
Neighbor list info ...
1 neighbor list requests
update every 1 steps, delay 0 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 2.8
ghost atom cutoff = 2.8
binsize = 1.4 -> bins = 42 29 1
Memory usage per processor = 2.48839 Mbytes
Step Temp E_pair Press f_10[3] f_10
0 25.701528 -29.143179 -1.2407285 3.2354571 1.0526316
100 26.269576 -29.713313 7.9052334 1.2742382 1.0304709
200 26.368336 -29.809962 1.6412462 1.2520776 1.0083102
300 26.479082 -29.920083 2.3678653 1.2299169 1.0193906
400 26.522239 -29.965537 6.6787858 1.1855956 1.0193906
500 25.725591 -29.168034 0.67065285 1.2520776 1.0083102
600 26.247693 -29.692706 7.9887712 1.3074792 1.0083102
700 26.237368 -29.676926 1.5987214 1.2409972 1.0083102
800 25.889643 -29.431589 4.6160859 1.2631579 1.0083102
900 23.635295 -27.372963 9.029962 1.1634349 1.0083102
1000 22.571904 -25.87422 1.8936085 1.1301939 1.0193906
1100 17.493795 -21.447274 9.502619 1.0858726 1.0193906
1200 17.214459 -20.726965 6.3578917 1.0304709 1.0193906
1300 16.424084 -19.757322 3.9028131 1.1191136 1.0083102
1400 15.026954 -18.109911 1.7623684 1.0858726 1.0193906
1500 13.640678 -16.740794 1.5347425 1.0858726 1.0193906
1600 13.618211 -16.610276 1.9480883 1.0747922 1.0083102
1700 13.266465 -16.300632 1.6890777 1.0637119 1.0193906
1800 12.178444 -15.175544 2.1018989 1.0304709 1.0083102
1900 12.131633 -15.075269 2.0174899 1.0526316 1.0193906
2000 12.290785 -15.185923 1.8747772 1.0415512 1.0193906
2100 12.02255 -14.947108 1.086185 1.0747922 1.0083102
2200 11.733238 -14.620414 0.93934447 1.0526316 1.0193906
2300 12.180779 -15.092283 1.1969416 1.0526316 1.0083102
2400 11.721247 -14.503377 1.3759878 1.1080332 1.0083102
2500 11.609116 -14.371603 2.0315139 1.0747922 1.0083102
2600 11.712503 -14.494711 1.7236598 1.0415512 1.0193906
2700 10.932816 -13.665751 1.2772732 1.0415512 1.0083102
2800 10.418752 -13.183889 1.2940564 1.0415512 1.0193906
2900 10.668297 -13.404525 0.90378659 1.0304709 1.0083102
3000 10.562215 -13.581566 1.0507999 1.0083102 1.0193906
3100 10.283188 -13.016565 1.0685664 1.0526316 1.0193906
3200 10.424678 -13.136756 1.4038511 1.0193906 1.0083102
3300 10.207304 -12.901323 1.3077174 1.0415512 1.0193906
3400 10.143301 -12.802915 1.2776266 1.0415512 1.0193906
3500 9.8449452 -12.507639 1.5455496 1.0637119 1.0083102
3600 9.5629038 -12.204164 0.84971204 1.0304709 1.0083102
3700 9.1851938 -11.809431 1.0102805 1.0304709 1.0193906
3800 9.3305969 -11.989086 0.69923461 1.0193906 1.0083102
3900 9.2415243 -11.880498 1.2471235 1.0637119 1.0193906
4000 8.8240051 -11.417696 0.60781901 1.0304709 1.0083102
4100 8.9126422 -11.503716 0.96900558 1.0083102 1.0083102
4200 8.3738185 -10.93925 0.84927158 1.0193906 1.0083102
4300 8.2401487 -10.90291 0.97775564 1.0083102 1.0083102
4400 8.061288 -10.722169 1.4106859 1.0193906 1.0193906
4500 7.8900038 -10.422818 0.67651486 1.0193906 1.0193906
4600 7.8306694 -10.363812 0.83437455 1.0193906 1.0193906
4700 8.1116499 -10.712008 0.58885383 1.0304709 1.0193906
4800 8.0508103 -10.576232 0.52562827 1.0193906 1.0083102
4900 7.8161815 -10.368333 0.89724847 1.0415512 1.0083102
5000 7.4940002 -9.9763835 1.215446 1.0304709 1.0083102
5100 7.9981403 -10.510786 1.0948502 1.0304709 1.0193906
5200 7.7674668 -10.259031 0.81850586 1.0304709 1.0193906
5300 7.9627913 -10.465018 0.75004253 1.0304709 1.0083102
5400 7.8093696 -10.371624 0.75451812 1.0193906 1.0083102
5500 8.1189569 -10.623288 0.91908416 1.0304709 1.0083102
5600 7.5970957 -10.070305 0.84265844 1.0415512 1.0083102
5700 7.4322203 -9.9176252 0.32608772 1.0304709 1.0083102
5800 7.8210607 -10.311444 0.95696619 1.0304709 1.0083102
5900 7.6181913 -10.111225 1.1341946 1.0193906 1.0083102
6000 7.2217555 -9.7122281 0.75858423 1.0637119 1.0083102
6100 7.3643302 -9.851242 0.5240439 1.0193906 1.0193906
6200 7.0281589 -9.4834454 0.59523945 1.0526316 1.0193906
6300 7.1383115 -9.6099868 0.87558078 1.0193906 1.0193906
6400 7.2136999 -9.6965877 0.88426542 1.0304709 1.0083102
6500 7.1710521 -9.7082917 1.2055959 1.0415512 1.0193906
6600 7.4150515 -9.9376614 0.48201097 1.0304709 1.0083102
6700 6.8701427 -9.3844769 0.72785561 1.0526316 1.0193906
6800 6.8486978 -9.3256413 0.93231327 1.0193906 1.0083102
6900 6.583533 -9.0068813 0.51281911 1.0193906 1.0193906
7000 6.7199396 -9.1773668 0.12636874 1.0193906 1.0083102
7100 6.5193695 -8.9553058 1.0423295 1.0083102 1.0193906
7200 6.4868896 -8.9090695 0.49867926 1.0083102 1.0193906
7300 6.2975635 -8.7775483 0.49072731 1.0415512 1.0083102
7400 6.4966155 -8.9410837 0.52952897 1.0193906 1.0083102
7500 6.7100139 -9.166691 0.82930078 1.0193906 1.0083102
7600 6.3569418 -8.7843554 0.93473251 1.0193906 1.0083102
7700 6.122789 -8.5434369 0.33725874 1.0526316 1.0083102
7800 6.0249595 -8.4453069 0.52784464 1.0193906 1.0083102
7900 6.6673238 -9.1166487 0.93753595 1.0193906 1.0083102
8000 6.4177253 -8.8896071 0.57421674 1.0193906 1.0193906
8100 5.965959 -8.3655023 0.42043964 1.0304709 1.0193906
8200 6.3325216 -8.758339 0.76723151 1.0193906 1.0193906
8300 6.4992751 -8.943922 0.86331769 1.0526316 1.0193906
8400 6.1834495 -8.6059885 0.43133079 1.0415512 1.0193906
8500 6.2567239 -8.6758815 0.8551113 1.0083102 1.0193906
8600 6.1232623 -8.5905174 0.6014726 1.0304709 1.0083102
8700 6.6650376 -9.0949995 0.46866086 1.0637119 1.0193906
8800 6.6103957 -9.0116868 0.84371859 1.0083102 1.0193906
8900 5.8867946 -8.3162884 0.64216189 1.0415512 1.0193906
9000 5.685369 -8.0652138 0.32067903 1.0304709 1.0083102
9100 6.2783881 -8.6826466 0.36419567 1.0415512 1.0304709
9200 6.0162211 -8.4584809 0.58707128 1.0083102 1.0083102
9300 5.9900511 -8.3949266 0.62037401 1.0304709 1.0193906
9400 6.2686573 -8.6713334 0.81204427 1.0415512 1.0083102
9500 6.0317917 -8.4325112 0.63221293 1.0304709 1.0193906
9600 5.8217003 -8.256407 0.816143 1.0304709 1.0083102
9700 5.6011023 -7.9966077 0.4114902 1.0304709 1.0193906
9800 5.6339982 -8.0317639 0.32315576 1.0083102 1.0083102
9900 5.8044743 -8.1942271 0.62892477 1.0193906 1.0083102
10000 6.1722678 -8.5642925 0.80423557 1.0304709 1.0083102
Loop time of 0.39332 on 4 procs for 10000 steps with 361 atoms
Performance: 10983420.832 tau/day, 25424.585 timesteps/s
98.9% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.067888 | 0.075593 | 0.091022 | 3.3 | 19.22
Neigh | 0.071147 | 0.075568 | 0.085203 | 2.1 | 19.21
Comm | 0.10841 | 0.12918 | 0.14463 | 4.0 | 32.84
Output | 0.0017445 | 0.001877 | 0.0022032 | 0.4 | 0.48
Modify | 0.038837 | 0.039568 | 0.040469 | 0.3 | 10.06
Other | | 0.07153 | | | 18.19
Nlocal: 90.25 ave 91 max 90 min
Histogram: 3 0 0 0 0 0 0 0 0 1
Nghost: 22.25 ave 27 max 16 min
Histogram: 1 0 0 0 0 0 2 0 0 1
Neighs: 268.25 ave 400 max 133 min
Histogram: 1 0 1 0 0 0 0 1 0 1
Total # of neighbors = 1073
Ave neighs/atom = 2.9723
Neighbor list builds = 3611
Dangerous builds = 0
Total wall time: 0:00:00

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LAMMPS (26 Sep 2016)
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
variable factor index 1.0
lattice fcc 0.8442
Lattice spacing in x,y,z = 1.6796 1.6796 1.6796
region box block 0 10 0 10 0 10
create_box 3 box
Created orthogonal box = (0 0 0) to (16.796 16.796 16.796)
4 by 1 by 1 MPI processor grid
create_atoms 1 box
Created 4000 atoms
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
1400 settings made for type
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
group fast type 1
2600 atoms in group fast
group slow type 2
1400 atoms in group slow
balance 1.0 shift x 5 1.1 weight group 2 fast 1.0 slow ${factor} # out weighted.txt
balance 1.0 shift x 5 1.1 weight group 2 fast 1.0 slow 1.0
Neighbor list info ...
1 neighbor list requests
update every 2 steps, delay 4 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 5.3
ghost atom cutoff = 5.3
binsize = 2.65 -> bins = 7 7 7
rebalancing time: 0.000452042 seconds
iteration count = 2
group weights: fast=1 slow=1
initial/final max load/proc = 1200 1200
initial/final imbalance factor = 1.2 1.2
x cuts: 0 0.25 0.5 0.6875 1
y cuts: 0 1
z cuts: 0 1
fix 0 all balance 10 1.0 shift x 5 1.1 weight group 2 fast 1.0 slow ${factor}
fix 0 all balance 10 1.0 shift x 5 1.1 weight group 2 fast 1.0 slow 1.0
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250
Memory usage per processor = 2.9192 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
0 1 -6.9453205 0 -5.4456955 -5.6812358 4738.2137
50 0.48653399 -6.1788509 0 -5.4492324 -1.6017778 4738.2137
100 0.53411175 -6.249885 0 -5.4489177 -1.9317606 4738.2137
150 0.53646658 -6.2527206 0 -5.4482219 -1.9689568 4738.2137
200 0.54551611 -6.2656326 0 -5.4475631 -2.0042104 4738.2137
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995 4738.2137
Loop time of 1.48606 on 4 procs for 250 steps with 4000 atoms
Performance: 72675.623 tau/day, 168.231 timesteps/s
99.0% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.23243 | 0.67 | 1.2235 | 47.4 | 45.09
Neigh | 0.17043 | 0.18781 | 0.21572 | 4.1 | 12.64
Comm | 0.036635 | 0.61802 | 1.0727 | 51.6 | 41.59
Output | 0.00011992 | 0.00013161 | 0.00015426 | 0.1 | 0.01
Modify | 0.005506 | 0.0055596 | 0.0056329 | 0.1 | 0.37
Other | | 0.004531 | | | 0.30
Nlocal: 1000 ave 1001 max 999 min
Histogram: 1 0 0 0 0 2 0 0 0 1
Nghost: 8727 ave 8761 max 8674 min
Histogram: 1 0 0 0 0 0 1 1 0 1
Neighs: 149349 ave 260848 max 51191 min
Histogram: 1 1 0 0 0 0 1 0 0 1
Total # of neighbors = 597396
Ave neighs/atom = 149.349
Neighbor list builds = 25
Dangerous builds = 0
Total wall time: 0:00:01

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LAMMPS (26 Sep 2016)
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
variable factor index 1.0
lattice fcc 0.8442
Lattice spacing in x,y,z = 1.6796 1.6796 1.6796
region box block 0 10 0 10 0 10
create_box 3 box
Created orthogonal box = (0 0 0) to (16.796 16.796 16.796)
4 by 1 by 1 MPI processor grid
create_atoms 1 box
Created 4000 atoms
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
1400 settings made for type
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
balance 1.0 shift x 5 1.1 # out unweighted.txt
Neighbor list info ...
1 neighbor list requests
update every 2 steps, delay 4 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 5.3
ghost atom cutoff = 5.3
binsize = 2.65 -> bins = 7 7 7
rebalancing time: 0.000433922 seconds
iteration count = 2
initial/final max load/proc = 1200 1200
initial/final imbalance factor = 1.2 1.2
x cuts: 0 0.25 0.5 0.6875 1
y cuts: 0 1
z cuts: 0 1
balance 1.0 x uniform
rebalancing time: 0.000152826 seconds
iteration count = 0
initial/final max load/proc = 1200 1200
initial/final imbalance factor = 1.2 1.2
x cuts: 0 0.25 0.5 0.75 1
y cuts: 0 1
z cuts: 0 1
variable weight atom (type==1)*1.0+(type==2)*v_factor
balance 1.0 shift x 5 1.1 weight var weight # out weighted_var.txt
rebalancing time: 0.000287056 seconds
iteration count = 2
weight variable: weight
initial/final max load/proc = 1200 1200
initial/final imbalance factor = 1.2 1.2
x cuts: 0 0.25 0.5 0.6875 1
y cuts: 0 1
z cuts: 0 1
balance 1.0 x uniform
rebalancing time: 0.00011611 seconds
iteration count = 0
initial/final max load/proc = 1200 1200
initial/final imbalance factor = 1.2 1.2
x cuts: 0 0.25 0.5 0.75 1
y cuts: 0 1
z cuts: 0 1
group fast type 1
2600 atoms in group fast
group slow type 2
1400 atoms in group slow
balance 1.0 shift x 5 1.1 weight group 2 fast 1.0 slow ${factor} # out weighted_group.txt
balance 1.0 shift x 5 1.1 weight group 2 fast 1.0 slow 1.0
rebalancing time: 0.000248909 seconds
iteration count = 2
group weights: fast=1 slow=1
initial/final max load/proc = 1200 1200
initial/final imbalance factor = 1.2 1.2
x cuts: 0 0.25 0.5 0.6875 1
y cuts: 0 1
z cuts: 0 1
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250
Memory usage per processor = 2.77892 Mbytes
Step Temp E_pair E_mol TotEng Press
0 1 -6.9453205 0 -5.4456955 -5.6812358
50 0.48653399 -6.1788509 0 -5.4492324 -1.6017778
100 0.53411175 -6.249885 0 -5.4489177 -1.9317606
150 0.53646658 -6.2527206 0 -5.4482219 -1.9689568
200 0.54551611 -6.2656326 0 -5.4475631 -2.0042104
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995
Loop time of 1.41033 on 4 procs for 250 steps with 4000 atoms
Performance: 76577.913 tau/day, 177.264 timesteps/s
98.7% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.33785 | 0.6592 | 1.1713 | 41.7 | 46.74
Neigh | 0.14133 | 0.17129 | 0.19681 | 5.6 | 12.15
Comm | 0.039078 | 0.57085 | 0.87566 | 45.3 | 40.48
Output | 0.00022721 | 0.00024492 | 0.00026417 | 0.1 | 0.02
Modify | 0.0025113 | 0.0033261 | 0.0040808 | 1.0 | 0.24
Other | | 0.005427 | | | 0.38
Nlocal: 1000 ave 1263 max 712 min
Histogram: 1 0 0 0 1 0 1 0 0 1
Nghost: 8711.5 ave 9045 max 8325 min
Histogram: 1 0 0 0 0 1 1 0 0 1
Neighs: 149325 ave 275165 max 77227 min
Histogram: 2 0 0 0 1 0 0 0 0 1
Total # of neighbors = 597299
Ave neighs/atom = 149.325
Neighbor list builds = 23
Dangerous builds = 0
Total wall time: 0:00:01

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LAMMPS (26 Sep 2016)
# 3d Lennard-Jones melt
units lj
#atom_style charge
processors * 1 1
lattice fcc 0.8442
Lattice spacing in x,y,z = 1.6796 1.6796 1.6796
region box block 0 10 0 10 0 10
create_box 3 box
Created orthogonal box = (0 0 0) to (16.796 16.796 16.796)
4 by 1 by 1 MPI processor grid
create_atoms 1 box
Created 4000 atoms
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
1400 settings made for type
#set type 1:2 charge 0.0
velocity all create 1.0 87287
pair_style lj/long/coul/long long off 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
kspace_style pppm/disp 1.0e-4
kspace_modify gewald/disp 0.1
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
group fast type 1
2600 atoms in group fast
group slow type 2
1400 atoms in group slow
fix 0 all balance 20 1.0 shift x 5 1.0 weight group 2 fast 1.0 slow 2.0 weight time 0.66
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 500
PPPMDisp initialization ...
Dispersion G vector (1/distance) = 0.1
Dispersion grid = 2 2 2
Dispersion stencil order = 5
Dispersion estimated absolute RMS force accuracy = 1.01251
Dispersion estimated absolute real space RMS force accuracy = 1.01251
Dispersion estimated absolute kspace RMS force accuracy = 7.29446e-07
Disperion estimated relative force accuracy = 1.01251
using double precision FFTs
3d grid and FFT values/proc dispersion = 294 4
Neighbor list info ...
1 neighbor list requests
update every 2 steps, delay 4 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 5.3
ghost atom cutoff = 5.3
binsize = 2.65 -> bins = 7 7 7
Memory usage per processor = 3.32692 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
0 1 52.148338 0 53.647963 94.09503 4738.2137
50 17.850656 42.620113 0 69.389403 142.80556 4738.2137
100 9.4607189 49.700118 0 63.887649 117.51739 4738.2137
150 13.992056 47.731988 0 68.714825 140.56926 4738.2137
200 11.617635 52.509395 0 69.931491 142.6933 4738.2137
250 13.536262 48.330072 0 68.629389 133.91619 4738.2137
300 12.619724 50.326376 0 69.25123 132.46494 4738.2137
350 14.513005 50.110693 0 71.874758 143.39284 4738.2137
400 12.429702 49.690909 0 68.3308 130.0808 4738.2137
450 13.928225 50.969523 0 71.856637 144.44675 4738.2137
500 13.286368 50.355522 0 70.280091 137.2389 4738.2137
Loop time of 4.79482 on 4 procs for 500 steps with 4000 atoms
Performance: 45048.596 tau/day, 104.279 timesteps/s
99.1% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.85927 | 1.571 | 2.2092 | 51.0 | 32.76
Kspace | 0.61247 | 1.982 | 3.2697 | 85.3 | 41.34
Neigh | 0.2976 | 0.98099 | 1.8525 | 68.1 | 20.46
Comm | 0.090759 | 0.23335 | 0.34356 | 22.4 | 4.87
Output | 0.00027442 | 0.00034857 | 0.0004065 | 0.3 | 0.01
Modify | 0.013081 | 0.016089 | 0.0201 | 2.3 | 0.34
Other | | 0.01104 | | | 0.23
Nlocal: 1000 ave 1853 max 359 min
Histogram: 2 0 0 0 0 0 0 1 0 1
Nghost: 7773.5 ave 9196 max 6355 min
Histogram: 2 0 0 0 0 0 0 0 0 2
Neighs: 127368 ave 180948 max 71698 min
Histogram: 2 0 0 0 0 0 0 0 0 2
Total # of neighbors = 509471
Ave neighs/atom = 127.368
Neighbor list builds = 124
Dangerous builds = 97
Total wall time: 0:00:04

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LAMMPS (26 Sep 2016)
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
lattice fcc 0.8442
Lattice spacing in x,y,z = 1.6796 1.6796 1.6796
region box block 0 10 0 10 0 10
create_box 3 box
Created orthogonal box = (0 0 0) to (16.796 16.796 16.796)
4 by 1 by 1 MPI processor grid
create_atoms 1 box
Created 4000 atoms
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
1400 settings made for type
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
fix p all property/atom d_WEIGHT
fix 0 all balance 50 1.0 shift x 5 1.0 weight neigh 0.8 weight store WEIGHT
compute p all property/atom d_WEIGHT
variable maximb equal f_0[1]
variable iter equal f_0[2]
variable prev equal f_0[3]
variable final equal f_0
#fix 3 all print 50 "${iter} ${prev} ${final} ${maximb}"
fix 1 all nve
#dump id all atom 50 dump.melt
#dump id all custom 50 dump.lammpstrj id type x y z c_p
#dump 2 all image 25 image.*.jpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mp4 c_p type # axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3 amap 0.0 2.0 cf 0.1 3 min blue 0.5 green max red
thermo 50
run 500
Neighbor list info ...
1 neighbor list requests
update every 2 steps, delay 4 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 5.3
ghost atom cutoff = 5.3
binsize = 2.65 -> bins = 7 7 7
WARNING: No suitable neighbor list found. Neighbor weighted balancing skipped (../imbalance_neigh.cpp:65)
Memory usage per processor = 3.0442 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
0 1 -6.9453205 0 -5.4456955 -5.6812358 4738.2137
50 0.48653399 -6.1788509 0 -5.4492324 -1.6017778 4738.2137
100 0.53411175 -6.249885 0 -5.4489177 -1.9317606 4738.2137
150 0.53646658 -6.2527206 0 -5.4482219 -1.9689568 4738.2137
200 0.54551611 -6.2656326 0 -5.4475631 -2.0042104 4738.2137
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995 4738.2137
300 0.5477618 -6.2678071 0 -5.4463698 -1.997842 4738.2137
350 0.55600296 -6.2801497 0 -5.4463538 -2.0394056 4738.2137
400 0.53241503 -6.2453665 0 -5.4469436 -1.878594 4738.2137
450 0.5439158 -6.2623 0 -5.4466302 -1.9744161 4738.2137
500 0.55526241 -6.2793396 0 -5.4466542 -2.0595015 4738.2137
Loop time of 2.27598 on 4 procs for 500 steps with 4000 atoms
Performance: 94904.173 tau/day, 219.686 timesteps/s
99.4% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 1.1158 | 1.4132 | 1.6545 | 19.0 | 62.09
Neigh | 0.25541 | 0.38197 | 0.55281 | 20.3 | 16.78
Comm | 0.33626 | 0.46086 | 0.58471 | 14.7 | 20.25
Output | 0.00030327 | 0.00033396 | 0.0003922 | 0.2 | 0.01
Modify | 0.0061643 | 0.0082641 | 0.011169 | 2.4 | 0.36
Other | | 0.01137 | | | 0.50
Nlocal: 1000 ave 1551 max 604 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Nghost: 8754.75 ave 9849 max 8074 min
Histogram: 2 0 0 0 0 1 0 0 0 1
Neighs: 149308 ave 163995 max 129030 min
Histogram: 1 0 0 1 0 0 0 0 0 2
Total # of neighbors = 597231
Ave neighs/atom = 149.308
Neighbor list builds = 50
Dangerous builds = 0
run 500
Memory usage per processor = 3.06519 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
500 0.55526241 -6.2793396 0 -5.4466542 -2.0595015 4738.2137
550 0.53879347 -6.2554274 0 -5.4474393 -1.9756834 4738.2137
600 0.54275982 -6.2616799 0 -5.4477437 -1.9939993 4738.2137
650 0.54526651 -6.265098 0 -5.4474027 -2.0303672 4738.2137
700 0.54369381 -6.263201 0 -5.4478642 -1.9921967 4738.2137
750 0.54452777 -6.2640839 0 -5.4474964 -1.9658675 4738.2137
800 0.55061744 -6.2725556 0 -5.4468359 -2.0100922 4738.2137
850 0.55371614 -6.2763992 0 -5.4460326 -2.0065329 4738.2137
900 0.54756622 -6.2668303 0 -5.4456863 -1.9796122 4738.2137
950 0.54791593 -6.2673161 0 -5.4456477 -1.9598278 4738.2137
1000 0.54173198 -6.2586101 0 -5.4462153 -1.9007466 4738.2137
Loop time of 2.14853 on 4 procs for 500 steps with 4000 atoms
Performance: 100533.652 tau/day, 232.717 timesteps/s
99.5% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 1.1688 | 1.3591 | 1.5126 | 13.1 | 63.26
Neigh | 0.24981 | 0.38774 | 0.57835 | 22.5 | 18.05
Comm | 0.36101 | 0.38157 | 0.41179 | 3.0 | 17.76
Output | 0.00031686 | 0.00034499 | 0.00040627 | 0.2 | 0.02
Modify | 0.0059092 | 0.0082516 | 0.011432 | 2.6 | 0.38
Other | | 0.01149 | | | 0.53
Nlocal: 1000 ave 1559 max 601 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Nghost: 8717.25 ave 9789 max 8011 min
Histogram: 2 0 0 0 0 1 0 0 0 1
Neighs: 150170 ave 165071 max 129263 min
Histogram: 1 0 0 1 0 0 0 0 0 2
Total # of neighbors = 600678
Ave neighs/atom = 150.169
Neighbor list builds = 53
Dangerous builds = 0
run 500
Memory usage per processor = 3.06519 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
1000 0.54173198 -6.2586101 0 -5.4462153 -1.9007466 4738.2137
1050 0.54629742 -6.2657526 0 -5.4465113 -1.945821 4738.2137
1100 0.55427881 -6.2781733 0 -5.446963 -2.0021027 4738.2137
1150 0.54730654 -6.267257 0 -5.4465025 -1.9420678 4738.2137
1200 0.5388281 -6.2547963 0 -5.4467562 -1.890178 4738.2137
1250 0.54848768 -6.2694237 0 -5.4468979 -1.9636797 4738.2137
1300 0.54134321 -6.2590728 0 -5.447261 -1.9170271 4738.2137
1350 0.53564389 -6.2501521 0 -5.4468871 -1.8642306 4738.2137
1400 0.53726925 -6.2518379 0 -5.4461355 -1.8544028 4738.2137
1450 0.54525935 -6.2632653 0 -5.4455808 -1.9072158 4738.2137
1500 0.54223342 -6.2591056 0 -5.4459588 -1.886698 4738.2137
Loop time of 2.13806 on 4 procs for 500 steps with 4000 atoms
Performance: 101026.160 tau/day, 233.857 timesteps/s
99.5% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 1.1911 | 1.3674 | 1.5133 | 12.4 | 63.95
Neigh | 0.2394 | 0.37334 | 0.55622 | 22.2 | 17.46
Comm | 0.36084 | 0.37761 | 0.409 | 3.0 | 17.66
Output | 0.00030899 | 0.00033534 | 0.00039768 | 0.2 | 0.02
Modify | 0.0060141 | 0.0083458 | 0.011389 | 2.6 | 0.39
Other | | 0.01105 | | | 0.52
Nlocal: 1000 ave 1545 max 604 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Nghost: 8704 ave 9801 max 7983 min
Histogram: 2 0 0 0 0 1 0 0 0 1
Neighs: 150494 ave 165851 max 129789 min
Histogram: 1 0 0 1 0 0 0 0 0 2
Total # of neighbors = 601974
Ave neighs/atom = 150.494
Neighbor list builds = 51
Dangerous builds = 0
run 500
Memory usage per processor = 3.06519 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
1500 0.54223342 -6.2591056 0 -5.4459588 -1.886698 4738.2137
1550 0.55327017 -6.2750125 0 -5.4453147 -1.9506581 4738.2137
1600 0.54419032 -6.2612626 0 -5.4451812 -1.8559458 4738.2137
1650 0.54710059 -6.2661984 0 -5.4457527 -1.8882842 4738.2137
1700 0.53665689 -6.2504959 0 -5.4457118 -1.8067985 4738.2137
1750 0.54864916 -6.2681196 0 -5.4453516 -1.8662894 4738.2137
1800 0.54476391 -6.2615108 0 -5.4445692 -1.8352746 4738.2137
1850 0.54142945 -6.2555553 0 -5.4436142 -1.8005732 4738.2137
1900 0.53992253 -6.2541407 0 -5.4444594 -1.7768992 4738.2137
1950 0.54663678 -6.2640967 0 -5.4443465 -1.7945736 4738.2137
2000 0.54563235 -6.2626431 0 -5.4443992 -1.807693 4738.2137
Loop time of 2.18212 on 4 procs for 500 steps with 4000 atoms
Performance: 98986.300 tau/day, 229.135 timesteps/s
99.7% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 1.1776 | 1.3712 | 1.5256 | 13.4 | 62.84
Neigh | 0.26314 | 0.4065 | 0.59956 | 22.6 | 18.63
Comm | 0.36859 | 0.3845 | 0.41286 | 2.7 | 17.62
Output | 0.00031281 | 0.00033575 | 0.00039792 | 0.2 | 0.02
Modify | 0.0058827 | 0.0082896 | 0.011639 | 2.7 | 0.38
Other | | 0.01133 | | | 0.52
Nlocal: 1000 ave 1544 max 605 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Nghost: 8676.25 ave 9831 max 7985 min
Histogram: 2 0 0 0 1 0 0 0 0 1
Neighs: 151653 ave 166956 max 130753 min
Histogram: 1 0 0 1 0 0 0 0 0 2
Total # of neighbors = 606611
Ave neighs/atom = 151.653
Neighbor list builds = 56
Dangerous builds = 0
Total wall time: 0:00:08

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LAMMPS (26 Sep 2016)
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
lattice fcc 0.8442
Lattice spacing in x,y,z = 1.6796 1.6796 1.6796
region box block 0 10 0 10 0 10
create_box 3 box
Created orthogonal box = (0 0 0) to (16.796 16.796 16.796)
4 by 1 by 1 MPI processor grid
create_atoms 1 box
Created 4000 atoms
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
1400 settings made for type
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
comm_style tiled
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
fix p all property/atom d_WEIGHT
fix 0 all balance 50 1.0 rcb weight neigh 0.8 weight store WEIGHT
compute p all property/atom d_WEIGHT
variable maximb equal f_0[1]
variable iter equal f_0[2]
variable prev equal f_0[3]
variable final equal f_0
#fix 3 all print 50 "${iter} ${prev} ${final} ${maximb}"
fix 1 all nve
#dump id all atom 50 dump.melt
#dump id all custom 50 dump.lammpstrj id type x y z c_p
#dump 2 all image 25 image.*.jpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250
Neighbor list info ...
1 neighbor list requests
update every 2 steps, delay 4 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 5.3
ghost atom cutoff = 5.3
binsize = 2.65 -> bins = 7 7 7
WARNING: No suitable neighbor list found. Neighbor weighted balancing skipped (../imbalance_neigh.cpp:65)
Memory usage per processor = 2.90262 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
0 1 -6.9453205 0 -5.4456955 -5.6812358 4738.2137
50 0.48653399 -6.1788509 0 -5.4492324 -1.6017778 4738.2137
100 0.53411175 -6.249885 0 -5.4489177 -1.9317606 4738.2137
150 0.53646658 -6.2527206 0 -5.4482219 -1.9689568 4738.2137
200 0.54551611 -6.2656326 0 -5.4475631 -2.0042104 4738.2137
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995 4738.2137
Loop time of 0.943947 on 4 procs for 250 steps with 4000 atoms
Performance: 114413.252 tau/day, 264.845 timesteps/s
99.4% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.64601 | 0.66027 | 0.67403 | 1.2 | 69.95
Neigh | 0.18111 | 0.18828 | 0.1953 | 1.2 | 19.95
Comm | 0.072217 | 0.084395 | 0.096822 | 3.4 | 8.94
Output | 0.00016904 | 0.00018668 | 0.00020409 | 0.1 | 0.02
Modify | 0.005301 | 0.0055165 | 0.0056343 | 0.2 | 0.58
Other | | 0.005294 | | | 0.56
Nlocal: 1000 ave 1004 max 996 min
Histogram: 1 0 0 1 0 0 1 0 0 1
Nghost: 7674 ave 7678 max 7668 min
Histogram: 1 0 0 0 0 0 1 0 1 1
Neighs: 149349 ave 150214 max 148735 min
Histogram: 1 0 1 0 1 0 0 0 0 1
Total # of neighbors = 597396
Ave neighs/atom = 149.349
Neighbor list builds = 25
Dangerous builds = 0
run 250
Memory usage per processor = 2.9031 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995 4738.2137
300 0.5477618 -6.2678071 0 -5.4463698 -1.997842 4738.2137
350 0.55600296 -6.2801497 0 -5.4463538 -2.0394056 4738.2137
400 0.53241503 -6.2453665 0 -5.4469436 -1.878594 4738.2137
450 0.5439158 -6.2623 0 -5.4466302 -1.9744161 4738.2137
500 0.55526241 -6.2793396 0 -5.4466542 -2.0595015 4738.2137
Loop time of 0.886707 on 4 procs for 250 steps with 4000 atoms
Performance: 121798.994 tau/day, 281.942 timesteps/s
99.7% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.6277 | 0.63292 | 0.64433 | 0.8 | 71.38
Neigh | 0.1778 | 0.17937 | 0.18309 | 0.5 | 20.23
Comm | 0.05461 | 0.06445 | 0.070518 | 2.3 | 7.27
Output | 0.00015926 | 0.00017142 | 0.00018311 | 0.1 | 0.02
Modify | 0.0050013 | 0.0050754 | 0.0051844 | 0.1 | 0.57
Other | | 0.004719 | | | 0.53
Nlocal: 1000 ave 1008 max 990 min
Histogram: 1 0 0 1 0 0 0 0 1 1
Nghost: 7665.5 ave 7675 max 7650 min
Histogram: 1 0 0 0 0 1 0 0 0 2
Neighs: 149308 ave 149883 max 148467 min
Histogram: 1 0 0 0 1 0 0 0 1 1
Total # of neighbors = 597231
Ave neighs/atom = 149.308
Neighbor list builds = 25
Dangerous builds = 0
Total wall time: 0:00:01

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@ -0,0 +1,207 @@
LAMMPS (26 Sep 2016)
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
variable factor index 1.0
lattice fcc 0.8442
Lattice spacing in x,y,z = 1.6796 1.6796 1.6796
region box block 0 10 0 10 0 10
create_box 3 box
Created orthogonal box = (0 0 0) to (16.796 16.796 16.796)
4 by 1 by 1 MPI processor grid
create_atoms 1 box
Created 4000 atoms
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
1400 settings made for type
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
balance 1.0 shift x 10 1.0 weight neigh 0.8 # out weighted_var.txt
Neighbor list info ...
1 neighbor list requests
update every 2 steps, delay 4 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 5.3
ghost atom cutoff = 5.3
binsize = 2.65 -> bins = 7 7 7
WARNING: No suitable neighbor list found. Neighbor weighted balancing skipped (../imbalance_neigh.cpp:65)
rebalancing time: 0.00040102 seconds
iteration count = 3
neigh weight factor: 0.8
initial/final max load/proc = 1200 1000
initial/final imbalance factor = 1.2 1
x cuts: 0 0.25 0.5 0.71875 1
y cuts: 0 1
z cuts: 0 1
fix 1 all nve
#dump id all atom 50 dump.melt
#dump 2 all image 25 image.*.jpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 250 post no
Memory usage per processor = 2.77892 Mbytes
Step Temp E_pair E_mol TotEng Press
0 1 -6.9453205 0 -5.4456955 -5.6812358
50 0.48653399 -6.1788509 0 -5.4492324 -1.6017778
100 0.53411175 -6.249885 0 -5.4489177 -1.9317606
150 0.53646658 -6.2527206 0 -5.4482219 -1.9689568
200 0.54551611 -6.2656326 0 -5.4475631 -2.0042104
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995
Loop time of 1.42566 on 4 procs for 250 steps with 4000 atoms
99.0% CPU use with 4 MPI tasks x no OpenMP threads
balance 1.0 shift x 10 1.0 weight neigh 0.8
rebalancing time: 0.000426054 seconds
iteration count = 10
neigh weight factor: 0.8
initial/final max load/proc = 1687.06 1002.87
initial/final imbalance factor = 1.68662 1.0026
x cuts: 0 0.306885 0.452881 0.599335 1
y cuts: 0 1
z cuts: 0 1
run 250 post no
Memory usage per processor = 2.7999 Mbytes
Step Temp E_pair E_mol TotEng Press
250 0.54677719 -6.2671162 0 -5.4471555 -2.0015995
300 0.5477618 -6.2678071 0 -5.4463698 -1.997842
350 0.55600296 -6.2801497 0 -5.4463538 -2.0394056
400 0.53241503 -6.2453665 0 -5.4469436 -1.878594
450 0.5439158 -6.2623 0 -5.4466302 -1.9744161
500 0.55526241 -6.2793396 0 -5.4466542 -2.0595015
Loop time of 1.02512 on 4 procs for 250 steps with 4000 atoms
99.4% CPU use with 4 MPI tasks x no OpenMP threads
balance 1.0 shift x 10 1.0 weight neigh 0.8
rebalancing time: 0.000252008 seconds
iteration count = 10
neigh weight factor: 0.8
initial/final max load/proc = 1054.41 1008.56
initial/final imbalance factor = 1.05567 1.00976
x cuts: 0 0.303588 0.449887 0.597189 1
y cuts: 0 1
z cuts: 0 1
run 250 post no
Memory usage per processor = 2.7999 Mbytes
Step Temp E_pair E_mol TotEng Press
500 0.55526241 -6.2793396 0 -5.4466542 -2.0595015
550 0.53879347 -6.2554274 0 -5.4474393 -1.9756834
600 0.54275982 -6.2616799 0 -5.4477437 -1.9939993
650 0.54526651 -6.265098 0 -5.4474027 -2.0303672
700 0.54369381 -6.263201 0 -5.4478642 -1.9921967
750 0.54452777 -6.2640839 0 -5.4474964 -1.9658675
Loop time of 1.03672 on 4 procs for 250 steps with 4000 atoms
99.5% CPU use with 4 MPI tasks x no OpenMP threads
balance 1.0 shift x 10 1.0 weight neigh 0.8 weight time 0.6
rebalancing time: 0.000267982 seconds
iteration count = 10
neigh weight factor: 0.8
time weight factor: 0.6
initial/final max load/proc = 1393.27 1116.61
initial/final imbalance factor = 1.25201 1.0034
x cuts: 0 0.337163 0.448601 0.555904 1
y cuts: 0 1
z cuts: 0 1
run 250
Memory usage per processor = 2.7999 Mbytes
Step Temp E_pair E_mol TotEng Press
750 0.54452777 -6.2640839 0 -5.4474964 -1.9658675
800 0.55061744 -6.2725556 0 -5.4468359 -2.0100922
850 0.55371614 -6.2763992 0 -5.4460326 -2.0065329
900 0.54756622 -6.2668303 0 -5.4456863 -1.9796122
950 0.54791593 -6.2673161 0 -5.4456477 -1.9598278
1000 0.54173198 -6.2586101 0 -5.4462153 -1.9007466
Loop time of 1.07042 on 4 procs for 250 steps with 4000 atoms
Performance: 100895.237 tau/day, 233.554 timesteps/s
99.3% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.56894 | 0.64706 | 0.72522 | 8.1 | 60.45
Neigh | 0.091286 | 0.17756 | 0.29256 | 20.9 | 16.59
Comm | 0.042178 | 0.23721 | 0.40194 | 31.6 | 22.16
Output | 0.00012493 | 0.0001505 | 0.00017571 | 0.1 | 0.01
Modify | 0.0016253 | 0.0032219 | 0.0054028 | 2.9 | 0.30
Other | | 0.005214 | | | 0.49
Nlocal: 1000 ave 1695 max 489 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Nghost: 8733.5 ave 10199 max 7650 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Neighs: 150170 ave 166473 max 132232 min
Histogram: 1 1 0 0 0 0 0 0 0 2
Total # of neighbors = 600681
Ave neighs/atom = 150.17
Neighbor list builds = 25
Dangerous builds = 0
balance 1.0 shift x 10 1.0 weight neigh 0.8 weight time 0.6
rebalancing time: 0.000238895 seconds
iteration count = 10
neigh weight factor: 0.8
time weight factor: 0.6
initial/final max load/proc = 1167.62 1095.43
initial/final imbalance factor = 1.07395 1.00755
x cuts: 0 0.345978 0.449963 0.551398 1
y cuts: 0 1
z cuts: 0 1
run 250
Memory usage per processor = 2.7999 Mbytes
Step Temp E_pair E_mol TotEng Press
1000 0.54173198 -6.2586101 0 -5.4462153 -1.9007466
1050 0.54629742 -6.2657526 0 -5.4465113 -1.945821
1100 0.55427881 -6.2781733 0 -5.446963 -2.0021027
1150 0.54730654 -6.267257 0 -5.4465025 -1.9420678
1200 0.5388281 -6.2547963 0 -5.4467562 -1.890178
1250 0.54848768 -6.2694237 0 -5.4468979 -1.9636797
Loop time of 1.11596 on 4 procs for 250 steps with 4000 atoms
Performance: 96777.859 tau/day, 224.023 timesteps/s
99.4% CPU use with 4 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 0.56315 | 0.66085 | 0.76319 | 10.9 | 59.22
Neigh | 0.085606 | 0.18033 | 0.29805 | 21.9 | 16.16
Comm | 0.044225 | 0.2661 | 0.4596 | 35.4 | 23.84
Output | 0.00015068 | 0.0001756 | 0.00020194 | 0.1 | 0.02
Modify | 0.0015557 | 0.0032289 | 0.0054245 | 3.0 | 0.29
Other | | 0.005279 | | | 0.47
Nlocal: 1000 ave 1694 max 462 min
Histogram: 2 0 0 0 0 0 0 1 0 1
Nghost: 8755.25 ave 10227 max 7675 min
Histogram: 2 0 0 0 0 0 1 0 0 1
Neighs: 149995 ave 173733 max 125545 min
Histogram: 2 0 0 0 0 0 0 0 0 2
Total # of neighbors = 599979
Ave neighs/atom = 149.995
Neighbor list builds = 25
Dangerous builds = 0
Total wall time: 0:00:05

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@ -0,0 +1,250 @@
LAMMPS (26 Sep 2016)
# 3d Lennard-Jones melt
units lj
atom_style atomic
processors * 1 1
lattice fcc 0.8442
Lattice spacing in x,y,z = 1.6796 1.6796 1.6796
region box block 0 10 0 10 0 10
create_box 3 box
Created orthogonal box = (0 0 0) to (16.796 16.796 16.796)
2 by 1 by 1 MPI processor grid
create_atoms 1 box
Created 4000 atoms
mass * 1.0
region long block 3 6 0 10 0 10
set region long type 2
1400 settings made for type
velocity all create 1.0 87287
pair_style lj/cut 2.5
pair_coeff * * 1.0 1.0 2.5
pair_coeff * 2 1.0 1.0 5.0
neighbor 0.3 bin
neigh_modify every 2 delay 4 check yes
fix p all property/atom d_WEIGHT
compute p all property/atom d_WEIGHT
group fast type 1
2600 atoms in group fast
group slow type 2
1400 atoms in group slow
balance 1.0 shift x 10 1.0 weight group 2 fast 0.8 slow 2.5 weight store WEIGHT
Neighbor list info ...
1 neighbor list requests
update every 2 steps, delay 4 steps, check yes
max neighbors/atom: 2000, page size: 100000
master list distance cutoff = 5.3
ghost atom cutoff = 5.3
binsize = 2.65 -> bins = 7 7 7
rebalancing time: 0.000465155 seconds
iteration count = 10
group weights: fast=0.8 slow=2.5
storing weight in atom property d_WEIGHT
initial/final max load/proc = 2960 3120
initial/final imbalance factor = 1.06093 1.11828
x cuts: 0 0.449707 1
y cuts: 0 1
z cuts: 0 1
variable lastweight atom c_p
fix 0 all balance 50 1.0 shift x 10 1.0 weight var lastweight weight time 0.5 weight store WEIGHT
variable maximb equal f_0[1]
variable iter equal f_0[2]
variable prev equal f_0[3]
variable final equal f_0
#fix 3 all print 50 "${iter} ${prev} ${final} ${maximb}"
fix 1 all nve
#dump id all atom 50 dump.melt
#dump id all custom 50 dump.lammpstrj id type x y z c_p
#dump 2 all image 25 image.*.jpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 2 pad 3
#dump 3 all movie 25 movie.mpg type type # axes yes 0.8 0.02 view 60 -30
#dump_modify 3 pad 3
thermo 50
run 500
Memory usage per processor = 3.23652 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
0 1 -6.9453205 0 -5.4456955 -5.6812358 4738.2137
50 0.49578514 -6.1929216 0 -5.4494298 -1.6668039 4738.2137
100 0.53275389 -6.2475932 0 -5.4486622 -1.9063885 4738.2137
150 0.53316457 -6.2483202 0 -5.4487733 -1.9476162 4738.2137
200 0.536665 -6.2530113 0 -5.448215 -1.933468 4738.2137
250 0.55006273 -6.27163 0 -5.4467422 -2.0438847 4738.2137
300 0.55111476 -6.2727642 0 -5.4462987 -2.0384873 4738.2137
350 0.55211503 -6.274054 0 -5.4460885 -2.0116976 4738.2137
400 0.54638463 -6.2661715 0 -5.4467995 -1.992248 4738.2137
450 0.55885307 -6.2852263 0 -5.4471563 -2.0669747 4738.2137
500 0.54587069 -6.2662849 0 -5.4476836 -2.0078802 4738.2137
Loop time of 3.69088 on 2 procs for 500 steps with 4000 atoms
Performance: 58522.605 tau/day, 135.469 timesteps/s
99.7% CPU use with 2 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 2.3504 | 2.5517 | 2.7529 | 12.6 | 69.13
Neigh | 0.64397 | 0.73493 | 0.82589 | 10.6 | 19.91
Comm | 0.084433 | 0.37799 | 0.67156 | 47.7 | 10.24
Output | 0.00024199 | 0.00026727 | 0.00029254 | 0.2 | 0.01
Modify | 0.013371 | 0.014984 | 0.016598 | 1.3 | 0.41
Other | | 0.01102 | | | 0.30
Nlocal: 2000 ave 2358 max 1642 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Nghost: 10463 ave 11178 max 9748 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Neighs: 298070 ave 345748 max 250391 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Total # of neighbors = 596139
Ave neighs/atom = 149.035
Neighbor list builds = 51
Dangerous builds = 0
run 500
Memory usage per processor = 3.24081 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
500 0.54587069 -6.2662849 0 -5.4476836 -2.0078802 4738.2137
550 0.54137926 -6.2592773 0 -5.4474115 -1.9770236 4738.2137
600 0.54022886 -6.2573307 0 -5.44719 -1.9619637 4738.2137
650 0.54709009 -6.2678862 0 -5.4474562 -1.9958342 4738.2137
700 0.54590044 -6.2656903 0 -5.4470444 -1.9957108 4738.2137
750 0.55098488 -6.2724831 0 -5.4462124 -2.0287523 4738.2137
800 0.5520987 -6.2739184 0 -5.4459774 -2.0084991 4738.2137
850 0.54963958 -6.2702473 0 -5.445994 -1.9740031 4738.2137
900 0.54390586 -6.2615476 0 -5.4458927 -1.9400871 4738.2137
950 0.54741732 -6.2665755 0 -5.4456548 -1.9466417 4738.2137
1000 0.54200867 -6.2591246 0 -5.4463148 -1.8881624 4738.2137
Loop time of 4.04546 on 2 procs for 500 steps with 4000 atoms
Performance: 53393.133 tau/day, 123.595 timesteps/s
99.4% CPU use with 2 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 2.0718 | 2.5709 | 3.0701 | 31.1 | 63.55
Neigh | 0.58891 | 0.73311 | 0.87732 | 16.8 | 18.12
Comm | 0.068946 | 0.71436 | 1.3598 | 76.4 | 17.66
Output | 0.00024986 | 0.00027978 | 0.00030971 | 0.2 | 0.01
Modify | 0.012742 | 0.015146 | 0.01755 | 2.0 | 0.37
Other | | 0.01163 | | | 0.29
Nlocal: 2000 ave 2384 max 1616 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Nghost: 10412.5 ave 11172 max 9653 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Neighs: 300836 ave 358757 max 242914 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Total # of neighbors = 601671
Ave neighs/atom = 150.418
Neighbor list builds = 51
Dangerous builds = 0
balance 1.0 shift x 10 1.0 weight group 2 fast 0.8 slow 2.5 weight store WEIGHT
rebalancing time: 0.000392914 seconds
iteration count = 10
group weights: fast=0.8 slow=2.5
storing weight in atom property d_WEIGHT
initial/final max load/proc = 3464.4 2800.6
initial/final imbalance factor = 1.24172 1.0038
x cuts: 0 0.454927 1
y cuts: 0 1
z cuts: 0 1
fix 0 all balance 50 1.0 shift x 5 1.0 weight var lastweight weight neigh 0.5 weight store WEIGHT
run 500
Memory usage per processor = 3.24081 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
1000 0.54200867 -6.2591246 0 -5.4463148 -1.8881624 4738.2137
1050 0.54633412 -6.2656384 0 -5.4463421 -1.9012895 4738.2137
1100 0.54325667 -6.2612166 0 -5.4465353 -1.8870463 4738.2137
1150 0.55057583 -6.2719187 0 -5.4462614 -1.9575881 4738.2137
1200 0.53728175 -6.251744 0 -5.4460228 -1.8124097 4738.2137
1250 0.54077561 -6.2567544 0 -5.4457938 -1.8418134 4738.2137
1300 0.54430333 -6.260995 0 -5.4447442 -1.856351 4738.2137
1350 0.55097839 -6.2715909 0 -5.4453299 -1.9014337 4738.2137
1400 0.53858139 -6.2526781 0 -5.445008 -1.7965773 4738.2137
1450 0.54218439 -6.2574683 0 -5.444395 -1.7901189 4738.2137
1500 0.54200616 -6.2571433 0 -5.4443373 -1.8000345 4738.2137
Loop time of 3.50707 on 2 procs for 500 steps with 4000 atoms
Performance: 61589.821 tau/day, 142.569 timesteps/s
99.8% CPU use with 2 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 2.4976 | 2.5822 | 2.6669 | 5.3 | 73.63
Neigh | 0.69706 | 0.73285 | 0.76865 | 4.2 | 20.90
Comm | 0.11878 | 0.16671 | 0.21464 | 11.7 | 4.75
Output | 0.00026321 | 0.00028443 | 0.00030565 | 0.1 | 0.01
Modify | 0.013662 | 0.014432 | 0.015203 | 0.6 | 0.41
Other | | 0.01054 | | | 0.30
Nlocal: 2000 ave 2113 max 1887 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Nghost: 10348.5 ave 10873 max 9824 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Neighs: 302958 ave 314826 max 291091 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Total # of neighbors = 605917
Ave neighs/atom = 151.479
Neighbor list builds = 51
Dangerous builds = 0
run 500
Memory usage per processor = 3.24081 Mbytes
Step Temp E_pair E_mol TotEng Press Volume
1500 0.54200616 -6.2571433 0 -5.4443373 -1.8000345 4738.2137
1550 0.5371361 -6.250403 0 -5.4449003 -1.7647032 4738.2137
1600 0.54679572 -6.2646443 0 -5.4446558 -1.8115723 4738.2137
1650 0.53806586 -6.2519009 0 -5.4450039 -1.7409151 4738.2137
1700 0.53479442 -6.2469034 0 -5.4449123 -1.7162447 4738.2137
1750 0.53714075 -6.2506513 0 -5.4451416 -1.7340207 4738.2137
1800 0.52750518 -6.2358818 0 -5.4448219 -1.6875359 4738.2137
1850 0.54585315 -6.2629365 0 -5.4443615 -1.7758587 4738.2137
1900 0.53011039 -6.238762 0 -5.4437952 -1.6381988 4738.2137
1950 0.54287744 -6.2583143 0 -5.4442018 -1.7367676 4738.2137
2000 0.52770954 -6.2349628 0 -5.4435964 -1.5593554 4738.2137
Loop time of 3.46214 on 2 procs for 500 steps with 4000 atoms
Performance: 62389.230 tau/day, 144.420 timesteps/s
99.9% CPU use with 2 MPI tasks x no OpenMP threads
MPI task timing breakdown:
Section | min time | avg time | max time |%varavg| %total
---------------------------------------------------------------
Pair | 2.5495 | 2.5809 | 2.6123 | 2.0 | 74.55
Neigh | 0.68762 | 0.72466 | 0.7617 | 4.4 | 20.93
Comm | 0.12518 | 0.13173 | 0.13829 | 1.8 | 3.80
Output | 0.00024581 | 0.00026357 | 0.00028133 | 0.1 | 0.01
Modify | 0.013486 | 0.014313 | 0.015139 | 0.7 | 0.41
Other | | 0.01028 | | | 0.30
Nlocal: 2000 ave 2135 max 1865 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Nghost: 10311.5 ave 10838 max 9785 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Neighs: 303996 ave 309135 max 298857 min
Histogram: 1 0 0 0 0 0 0 0 0 1
Total # of neighbors = 607992
Ave neighs/atom = 151.998
Neighbor list builds = 51
Dangerous builds = 0
Total wall time: 0:00:14

View File

@ -11,13 +11,19 @@ velocity all create 1.44 87287 loop geom
pair_style body 5.0
pair_coeff * * 1.0 1.0
neighbor 0.3 bin
neighbor 0.5 bin
neigh_modify every 1 delay 0 check yes
fix 1 all nve/body
#fix 1 all nvt/body temp 1.44 1.44 1.0
fix 2 all enforce2d
#compute 1 all body/local type 1 2 3
#dump 1 all local 100 dump.body index c_1[1] c_1[2] c_1[3] c_1[4]
thermo 500
#dump 2 all image 1000 image.*.jpg type type &
# zoom 1.6 adiam 1.5 body type 1.0 0
#dump_modify 2 pad 5
thermo 100
run 10000

View File

@ -1,4 +1,5 @@
# Title: charmm correction map
# DATE: 2016-09-26 CONTRIBUTOR: Robert Latour, latourr@clemson.edu CITATION: TBA
# Title: charmm22/charmm27 dihedral correction map
# alanine map, type 1

View File

@ -1,12 +1,18 @@
Run these examples as:
mpirun -np 4 lmp_linux -partition 4x1 -in in.neb.hop1
mpirun -np 4 lmp_linux -partition 4x1 -in in.neb.hop2
mpirun -np 3 lmp_linux -partition 3x1 -in in.neb.sivac
mpirun -np 4 lmp_g++ -partition 4x1 -in in.neb.hop1
mpirun -np 4 lmp_g++ -partition 4x1 -in in.neb.hop2
mpirun -np 3 lmp_g++ -partition 3x1 -in in.neb.sivac
Create dump files to do visualization from via Python tools:
(see lammps/tools/README and lammps/tools/python/README
for more info on these Python scripts)
mpirun -np 8 lmp_g++ -partition 4x2 -in in.neb.hop1
mpirun -np 8 lmp_g++ -partition 4x2 -in in.neb.hop2
mpirun -np 6 lmp_g++ -partition 3x2 -in in.neb.sivac
mpirun -np 9 lmp_g++ -partition 3x3 -in in.neb.sivac
If you uncomment the dump command lines in the input scripts, you can
create dump files to do visualization from via Python tools: (see
lammps/tools/README and lammps/tools/python/README for more info on
these Python scripts)
python ~/lammps/tools/python/neb_combine.py -o dump.hop1.combine
-b dump.nonneb.1

View File

@ -14,10 +14,13 @@ variable u uloop 20
lattice hex 0.9
region box block 0 20 0 10 -0.25 0.25
create_box 3 box
create_atoms 1 box
mass * 1.0
#create_box 3 box
#create_atoms 1 box
#mass * 1.0
#write_data initial.hop1
read_data initial.hop1
# LJ potentials

View File

@ -15,11 +15,14 @@ variable u uloop 20
lattice hex 0.9
region box block 0 20 0 11 -0.25 0.25
region box1 block 0 20 0 10 -0.25 0.25
create_box 3 box
create_atoms 1 region box1
create_atoms 1 single 11.5 10.5 0
mass * 1.0
#create_box 3 box
#create_atoms 1 region box1
#create_atoms 1 single 11.5 10.5 0
#mass * 1.0
#write_data initial.hop2
read_data initial.hop2
# LJ potentials

View File

@ -30,17 +30,20 @@ lattice custom $a &
region myreg block 0 4 &
0 4 &
0 4
create_box 1 myreg
create_atoms 1 region myreg
mass 1 28.06
#create_box 1 myreg
#create_atoms 1 region myreg
#mass 1 28.06
#write_data initial.sivac
group Si type 1
read_data initial.sivac
# make a vacancy
group Si type 1
group del id 300
delete_atoms group del
delete_atoms group del compress no
group vacneigh id 174 175 301 304 306 331 337
# choose potential
@ -54,7 +57,7 @@ variable u uloop 20
# only output atoms near vacancy
dump events vacneigh custom 1000 dump.neb.sivac.$u id type x y z
#dump events vacneigh custom 1000 dump.neb.sivac.$u id type x y z
# initial minimization to relax vacancy
@ -72,5 +75,4 @@ thermo 100
timestep 0.01
min_style quickmin
neb 0.0 0.01 50 100 10 final final.sivac
neb 0.0 0.01 100 100 10 final final.sivac

860
examples/neb/initial.hop1 Normal file
View File

@ -0,0 +1,860 @@
LAMMPS data file via write_data, version 27 Sep 2016, timestep = 0
420 atoms
3 atom types
0.0000000000000000e+00 2.2653923264628304e+01 xlo xhi
-1.9618873042551413e-03 1.9620834929855668e+01 ylo yhi
-2.8317404080785380e-01 2.8317404080785380e-01 zlo zhi
Masses
1 1
2 1
3 1
Atoms # atomic
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862
examples/neb/initial.hop2 Normal file
View File

@ -0,0 +1,862 @@
LAMMPS data file via write_data, version 27 Sep 2016, timestep = 0
421 atoms
3 atom types
0.0000000000000000e+00 2.2653923264628304e+01 xlo xhi
-2.1580760346806556e-03 2.0601974770713667e+01 ylo yhi
-2.8317404080785380e-01 2.8317404080785380e-01 zlo zhi
Masses
1 1
2 1
3 1
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1042
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LAMMPS (15 Feb 2016)
LAMMPS (27 Sep 2016)
Running on 4 partitions of processors
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
0 4327.2753 2746.3378 0.3387091 5.0075576 4514.5424 0.42933428 0.42323635 1.8941131 0 -3.0535948 0.33333333 -2.6242605 0.66666667 -2.7623811 1 -3.0474969

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LAMMPS (27 Sep 2016)
Running on 4 partitions of processors
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
0 4327.2753 2746.3378 0.3387091 5.0075576 4514.5424 0.42933428 0.42323635 1.8941131 0 -3.0535948 0.33333333 -2.6242605 0.66666667 -2.7623811 1 -3.0474969
100 0.10482171 0.085218406 0.014588234 0.066178435 0.19602242 0.0070900401 0.0022691875 2.3031875 0 -3.0535967 0.31839181 -3.0473647 0.639876 -3.0465067 1 -3.0487759
111 0.096708718 0.078036984 0.013922966 0.054175505 0.20234693 0.0070871172 0.0022668002 2.3052946 0 -3.0535968 0.31853431 -3.0473633 0.64178873 -3.0465096 1 -3.0487764
Climbing replica = 3
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
111 0.20234693 0.17770387 0.013922966 0.054175505 0.20234693 0.0070871172 0.0022668002 2.3052946 0 -3.0535968 0.31853431 -3.0473633 0.64178873 -3.0465096 1 -3.0487764
178 0.09975409 0.093814031 0.010577358 0.024247224 0.09975409 0.0071042931 0.0022851195 2.312004 0 -3.0535969 0.31607934 -3.0473923 0.618931 -3.0464926 1 -3.0487777

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LAMMPS (15 Feb 2016)
LAMMPS (27 Sep 2016)
Running on 4 partitions of processors
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
0 14.104748 10.419633 0.24852044 5.0039071 8.2116049 0.0018276223 0.00064050211 0.98401186 0 -3.0514921 0.33333333 -3.0496673 0.66666667 -3.0496645 1 -3.050305

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LAMMPS (27 Sep 2016)
Running on 4 partitions of processors
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
0 14.104748 10.419633 0.24852044 5.0039071 8.2116049 0.0018276223 0.00064050211 0.98401186 0 -3.0514921 0.33333333 -3.0496673 0.66666667 -3.0496645 1 -3.050305
100 0.24646695 0.10792196 0.01781018 0.098854684 0.63725646 0.001516756 0.0015151635 1.165391 0 -3.0514939 0.2890334 -3.0503533 0.59718494 -3.0499771 1 -3.0514923
200 0.061777741 0.050288749 0.012466513 0.020420207 0.88741041 0.0014465772 0.0014462528 1.1692938 0 -3.0514941 0.29975094 -3.0503052 0.62768286 -3.0500476 1 -3.0514938
300 0.056346766 0.030000618 0.0093152917 0.013765031 1.0101529 0.0014069751 0.0014068154 1.1699608 0 -3.0514942 0.30992449 -3.0502613 0.64174291 -3.0500873 1 -3.0514941
400 0.025589489 0.015671005 0.0061287063 0.008588518 1.1136424 0.001370987 0.0013709154 1.1704204 0 -3.0514943 0.32016645 -3.0502198 0.65324019 -3.0501233 1 -3.0514943
500 0.014778626 0.0092108366 0.0042668521 0.0059963914 1.1636579 0.0013527466 0.0013527072 1.1706283 0 -3.0514944 0.32550275 -3.0501993 0.65875414 -3.0501416 1 -3.0514943
600 0.08786211 0.020876327 0.0031421548 0.0051657363 1.1898894 0.0013430848 0.0013430599 1.1707681 0 -3.0514944 0.32831927 -3.0501889 0.66160681 -3.0501513 1 -3.0514944
633 0.0098132678 0.0055392541 0.0030063464 0.0043091323 1.1924486 0.0013420127 0.0013419893 1.1707818 0 -3.0514944 0.32862625 -3.0501878 0.66191769 -3.0501524 1 -3.0514944
Climbing replica = 3
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
633 1.1924486 1.1648685 0.0030063464 0.0043091323 1.1924486 0.0013420127 0.0013419893 1.1707818 0 -3.0514944 0.32862625 -3.0501878 0.66191769 -3.0501524 1 -3.0514944
733 0.095331134 0.089136608 0.0021551441 0.0031844438 0.043042998 0.0016022317 0.0016022168 1.170789 0 -3.0514944 0.29157063 -3.0503375 0.50358402 -3.0498922 1 -3.0514944
833 0.10539135 0.030724373 0.0013749699 0.002221013 0.10539135 0.0016019798 0.001601971 1.1732118 0 -3.0514944 0.26249002 -3.0504848 0.50415223 -3.0498924 1 -3.0514944
933 0.01883894 0.011496399 0.0011058925 0.0018178041 0.014621806 0.0016018934 0.0016018865 1.173866 0 -3.0514944 0.25788763 -3.0505113 0.50466375 -3.0498925 1 -3.0514944
996 0.0082457876 0.0036336551 0.00077325986 0.0013910671 0.0068823708 0.0016018293 0.0016018244 1.174511 0 -3.0514944 0.2544553 -3.0505324 0.50520462 -3.0498926 1 -3.0514944

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LAMMPS (27 Sep 2016)
Running on 3 partitions of processors
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
0 7.5525391 1.6345605 0.16683659 7.5525391 7.5525391 1.5383951 0 1.6207355 0 -2213.3343 0.5 -2212.4096 1 -2211.7959
10 0.27332818 0.040944923 0.039164338 0.27332818 0.17804882 0.51235911 0.497084 1.6790474 0 -2213.3364 0.49024121 -2212.824 1 -2213.3211
20 0.1820396 0.018049916 0.024428411 0.1820396 0.08601739 0.51038174 0.5080746 1.7224961 0 -2213.337 0.49199582 -2212.8266 1 -2213.3347
30 0.043288796 0.0068108825 0.017372479 0.043288796 0.049466709 0.51032316 0.5095943 1.7304745 0 -2213.3371 0.49553568 -2212.8268 1 -2213.3364
40 0.0421393 0.0037035761 0.01173707 0.0421393 0.026104735 0.51022733 0.5100163 1.7366752 0 -2213.3373 0.49838067 -2212.8271 1 -2213.3371
50 0.025897844 0.0022804241 0.0081056535 0.025897844 0.016908913 0.5101712 0.51008591 1.739143 0 -2213.3373 0.49923344 -2212.8272 1 -2213.3373
59 0.00962839 0.0012946076 0.005657505 0.009365729 0.012040803 0.51014185 0.51010207 1.7404554 0 -2213.3374 0.49955698 -2212.8272 1 -2213.3373
Climbing replica = 2
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
59 0.012040803 0.0031505502 0.005657505 0.009365729 0.012040803 0.51014185 0.51010207 1.7404554 0 -2213.3374 0.49955698 -2212.8272 1 -2213.3373
63 0.009152118 0.0016692472 0.0049645771 0.0081967836 0.009152118 0.51013743 0.51010776 1.7409028 0 -2213.3374 0.50022239 -2212.8272 1 -2213.3373

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LAMMPS (27 Sep 2016)
Running on 3 partitions of processors
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
0 7.5525391 1.6345605 0.16683659 7.5525391 7.5525391 1.5383951 0 1.6207355 0 -2213.3343 0.5 -2212.4096 1 -2211.7959
10 0.27332818 0.040944923 0.039164338 0.27332818 0.17804882 0.51235911 0.497084 1.6790474 0 -2213.3364 0.49024121 -2212.824 1 -2213.3211
20 0.1820396 0.018049916 0.024428411 0.1820396 0.08601739 0.51038174 0.5080746 1.7224961 0 -2213.337 0.49199582 -2212.8266 1 -2213.3347
30 0.043288796 0.0068108825 0.017372479 0.043288796 0.049466709 0.51032316 0.5095943 1.7304745 0 -2213.3371 0.49553568 -2212.8268 1 -2213.3364
40 0.042139305 0.0037035764 0.01173707 0.042139305 0.026104735 0.51022733 0.5100163 1.7366752 0 -2213.3373 0.49838067 -2212.8271 1 -2213.3371
50 0.025899631 0.0022805513 0.0081057075 0.025899631 0.016908929 0.5101712 0.51008591 1.739143 0 -2213.3373 0.49923345 -2212.8272 1 -2213.3373
59 0.0096285044 0.0012946258 0.0056576061 0.0093678253 0.012040919 0.51014185 0.51010207 1.7404554 0 -2213.3374 0.49955698 -2212.8272 1 -2213.3373
Climbing replica = 2
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
59 0.012040919 0.0031505771 0.0056576061 0.0093678253 0.012040919 0.51014185 0.51010207 1.7404554 0 -2213.3374 0.49955698 -2212.8272 1 -2213.3373
63 0.0091523813 0.0016692845 0.0049647607 0.0081998372 0.0091523813 0.51013743 0.51010775 1.7409028 0 -2213.3374 0.50022236 -2212.8272 1 -2213.3373

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@ -1,4 +1,4 @@
LAMMPS (15 Feb 2016)
LAMMPS (27 Sep 2016)
Running on 3 partitions of processors
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
0 7.5525391 1.6345605 0.16683659 7.5525391 7.5525391 1.5383951 0 1.6207355 0 -2213.3343 0.5 -2212.4096 1 -2211.7959
@ -6,9 +6,9 @@ Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 P
20 0.1820396 0.018049916 0.024428411 0.1820396 0.08601739 0.51038174 0.5080746 1.7224961 0 -2213.337 0.49199582 -2212.8266 1 -2213.3347
30 0.043288796 0.0068108825 0.017372479 0.043288796 0.049466709 0.51032316 0.5095943 1.7304745 0 -2213.3371 0.49553568 -2212.8268 1 -2213.3364
40 0.042139318 0.0037035773 0.011737071 0.042139318 0.026104737 0.51022733 0.5100163 1.7366752 0 -2213.3373 0.49838067 -2212.8271 1 -2213.3371
50 0.025904252 0.0022808801 0.008105847 0.025904252 0.016908971 0.5101712 0.51008591 1.7391431 0 -2213.3373 0.49923347 -2212.8272 1 -2213.3373
50 0.025904121 0.0022808707 0.0081058431 0.025904121 0.016908969 0.5101712 0.51008591 1.7391431 0 -2213.3373 0.49923346 -2212.8272 1 -2213.3373
59 0.0096287928 0.0012946716 0.005657861 0.0093731008 0.01204121 0.51014185 0.51010207 1.7404554 0 -2213.3374 0.49955696 -2212.8272 1 -2213.3373
Climbing replica = 2
Step MaxReplicaForce MaxAtomForce GradV0 GradV1 GradVc EBF EBR RDT RD1 PE1 RD2 PE2 ... RDN PEN
50 0.025904252 0.0044134315 0.008105847 0.025904252 0.016908971 0.5101712 0.51008591 1.7391431 0 -2213.3373 0.49923347 -2212.8272 1 -2213.3373
60 0.011518317 0.0013089596 0.0054472815 0.011518317 0.0091629734 0.51014415 0.51010903 1.7406815 0 -2213.3374 0.50065207 -2212.8272 1 -2213.3373
61 0.0089525108 0.0012703829 0.0052524345 0.0088142351 0.0089525108 0.51014321 0.51010962 1.7407173 0 -2213.3374 0.50065779 -2212.8272 1 -2213.3373
59 0.01204121 0.0031506449 0.005657861 0.0093731008 0.01204121 0.51014185 0.51010207 1.7404554 0 -2213.3374 0.49955696 -2212.8272 1 -2213.3373
63 0.0091530442 0.0016693787 0.0049652227 0.0082075097 0.0091530442 0.51013743 0.51010775 1.7409027 0 -2213.3374 0.50022228 -2212.8272 1 -2213.3373

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Run this example as:
mpirun -np 4 lmp_linux -partition 4x1 -in in.prd
mpirun -np 4 lmp_g++ -partition 4x1 -in in.prd
mpirun -np 8 lmp_g++ -partition 4x2 -in in.prd
You should be able to use any number of replicas >= 3.

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LAMMPS (15 Feb 2016)
Running on 4 partitions of processors
Step CPU Clock Event Correlated Coincident Replica
100 0.000 0 0 0 0 0
100 0.539 0 0 0 0 0
100 0.694 0 0 0 0 0
100 0.850 0 0 0 0 0
100 0.928 0 0 0 0 0
200 1.555 400 1 0 4 1
300 1.924 500 2 1 1 1
500 3.495 772 3 0 2 2
800 5.446 1328 4 0 2 2
1000 7.037 1636 5 0 1 3
1000 7.989 1636 5 0 1 3
1200 8.838 1908 6 0 1 2
1300 9.212 2008 7 1 1 2
1900 12.291 4024 8 0 1 3
1900 12.832 4024 8 0 1 3
1900 13.157 4024 8 0 1 3
1900 13.320 4024 8 0 1 3
2100 14.090 4220 9 0 2 3
Loop time of 14.0941 on 4 procs for 2000 steps with 511 atoms

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LAMMPS (28 Sep 2016)
Running on 4 partitions of processors
Step CPU Clock Event Correlated Coincident Replica
100 0.000 0 0 0 0 0
100 0.521 0 0 0 0 0
100 0.670 0 0 0 0 0
100 0.822 0 0 0 0 0
100 0.896 0 0 0 0 0
200 1.555 400 1 0 4 1
300 1.918 500 2 1 1 1
500 3.476 772 3 0 2 2
800 5.379 1328 4 0 2 2
1000 6.914 1636 5 0 1 3
1000 7.859 1636 5 0 1 3
1200 8.658 1908 6 0 1 2
1300 9.018 2008 7 1 1 2
1900 12.005 4024 8 0 1 3
1900 12.539 4024 8 0 1 3
1900 12.861 4024 8 0 1 3
1900 13.027 4024 8 0 1 3
2100 13.798 4220 9 0 2 3
Loop time of 13.8021 on 4 procs for 2000 steps with 511 atoms

View File

@ -0,0 +1,22 @@
LAMMPS (28 Sep 2016)
Running on 4 partitions of processors
Step CPU Clock Event Correlated Coincident Replica
100 0.000 0 0 0 0 0
100 0.289 0 0 0 0 0
100 0.373 0 0 0 0 0
100 0.458 0 0 0 0 0
100 0.500 0 0 0 0 0
200 0.800 400 1 0 4 1
300 0.999 500 2 1 1 1
500 1.834 772 3 0 2 2
800 2.864 1328 4 0 2 2
1000 3.706 1636 5 0 1 3
1000 4.211 1636 5 0 1 3
1200 4.655 1908 6 0 1 2
1300 4.854 2008 7 1 1 2
1900 6.503 4024 8 0 1 3
1900 6.792 4024 8 0 1 3
1900 6.968 4024 8 0 1 3
1900 7.055 4024 8 0 1 3
2100 7.463 4220 9 0 2 3
Loop time of 7.46531 on 8 procs for 2000 steps with 511 atoms

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@ -9,9 +9,9 @@ variable zblz equal 73
# Specify hybrid with SNAP, ZBL
pair_style hybrid/overlay &
zbl ${zblcutinner} ${zblcutouter} &
snap
pair_style hybrid/overlay snap &
zbl ${zblcutinner} ${zblcutouter}
pair_coeff 1 1 zbl ${zblz} ${zblz}
pair_coeff * * snap Ta06A.snapcoeff Ta Ta06A.snapparam Ta

View File

@ -1,5 +1,5 @@
Run this example as:
mpirun -np 3 lmp_linux -partition 3x1 -in in.tad
mpirun -np 3 lmp_g++ -partition 3x1 -in in.tad
You should be able to use any number of replicas >= 3.

View File

@ -150,7 +150,7 @@ colvar::colvar(std::string const &conf)
feature_states[f_cv_linear]->enabled = lin;
}
// Colvar is homogeneous iff:
// Colvar is homogeneous if:
// - it is linear (hence not scripted)
// - all cvcs have coefficient 1 or -1
// i.e. sum or difference of cvcs
@ -375,28 +375,16 @@ colvar::colvar(std::string const &conf)
{
bool temp;
if (get_keyval(conf, "outputSystemForce", temp, false)) {
cvm::error("Colvar option outputSystemForce is deprecated.\n"
"Please use outputTotalForce, or outputSystemForce within an ABF bias.");
if (get_keyval(conf, "outputSystemForce", temp, false, colvarparse::parse_silent)) {
cvm::error("Option outputSystemForce is deprecated: only outputTotalForce is supported instead.\n"
"The two are NOT identical: see http://colvars.github.io/totalforce.html.\n", INPUT_ERROR);
return;
}
}
{
bool b_output_total_force;
get_keyval(conf, "outputTotalForce", b_output_total_force, false);
if (b_output_total_force) {
enable(f_cv_output_total_force);
}
}
{
bool b_output_applied_force;
get_keyval(conf, "outputAppliedForce", b_output_applied_force, false);
if (b_output_applied_force) {
enable(f_cv_output_applied_force);
}
}
get_keyval_feature(this, conf, "outputTotalForce", f_cv_output_total_force, false);
get_keyval_feature(this, conf, "outputAppliedForce", f_cv_output_applied_force, false);
get_keyval_feature(this, conf, "subtractAppliedForce", f_cv_subtract_applied_force, false);
// Start in active state by default
enable(f_cv_active);
@ -409,6 +397,8 @@ colvar::colvar(std::string const &conf)
fj.type(value());
ft.type(value());
ft_reported.type(value());
f_old.type(value());
f_old.reset();
if (cvm::b_analysis)
parse_analysis(conf);
@ -519,6 +509,8 @@ int colvar::init_components(std::string const &conf)
"number", "coordNum");
error_code |= init_components_type<selfcoordnum>(conf, "self-coordination "
"number", "selfCoordNum");
error_code |= init_components_type<groupcoordnum>(conf, "group-coordination "
"number", "groupCoord");
error_code |= init_components_type<angle>(conf, "angle", "angle");
error_code |= init_components_type<dipole_angle>(conf, "dipole angle", "dipoleAngle");
error_code |= init_components_type<dihedral>(conf, "dihedral", "dihedral");
@ -1104,6 +1096,14 @@ int colvar::calc_colvar_properties()
} else {
if (is_enabled(f_cv_subtract_applied_force)) {
// correct the total force only if it has been measured
// TODO add a specific test instead of relying on sq norm
if (ft.norm2() > 0.0) {
ft -= f_old;
}
}
x_reported = x;
ft_reported = ft;
}
@ -1210,6 +1210,10 @@ cvm::real colvar::update_forces_energy()
x_old = x;
}
if (is_enabled(f_cv_subtract_applied_force)) {
f_old = f;
}
if (cvm::debug())
cvm::log("Done updating colvar \""+this->name+"\".\n");
return (potential_energy + kinetic_energy);
@ -1640,15 +1644,9 @@ std::ostream & colvar::write_traj(std::ostream &os)
}
if (is_enabled(f_cv_output_applied_force)) {
if (is_enabled(f_cv_extended_Lagrangian)) {
os << " "
<< std::setprecision(cvm::cv_prec) << std::setw(cvm::cv_width)
<< fr;
} else {
os << " "
<< std::setprecision(cvm::cv_prec) << std::setw(cvm::cv_width)
<< f;
}
os << " "
<< std::setprecision(cvm::cv_prec) << std::setw(cvm::cv_width)
<< applied_force();
}
return os;

View File

@ -175,6 +175,9 @@ public:
/// (if defined) contribute to it
colvarvalue f;
/// Applied force at the previous step (to be subtracted from total force if needed)
colvarvalue f_old;
/// \brief Total force, as derived from the atomic trajectory;
/// should equal the system force plus \link f \endlink
colvarvalue ft;
@ -272,10 +275,13 @@ public:
/// \brief Calculate the quantities associated to the colvar (but not to the CVCs)
int calc_colvar_properties();
/// Get the current biasing force
inline colvarvalue bias_force() const
/// Get the current applied force
inline colvarvalue const applied_force() const
{
return fb;
if (is_enabled(f_cv_extended_Lagrangian)) {
return fr;
}
return f;
}
/// Set the total biasing force to zero
@ -482,6 +488,7 @@ public:
class dihedral;
class coordnum;
class selfcoordnum;
class groupcoordnum;
class h_bond;
class rmsd;
class orientation_angle;

View File

@ -67,7 +67,7 @@ int colvarbias_histogram::init(std::string const &conf)
if (colvar_array_size > 0) {
weights.assign(colvar_array_size, 1.0);
get_keyval(conf, "weights", weights, weights, colvarparse::parse_silent);
get_keyval(conf, "weights", weights, weights);
}
for (i = 0; i < colvars.size(); i++) {
@ -79,7 +79,7 @@ int colvarbias_histogram::init(std::string const &conf)
{
std::string grid_conf;
if (key_lookup(conf, "grid", grid_conf)) {
if (key_lookup(conf, "histogramGrid", grid_conf)) {
grid->parse_params(grid_conf);
}
}

View File

@ -92,7 +92,11 @@ int colvarbias_meta::init(std::string const &conf)
get_keyval(conf, "keepHills", keep_hills, false);
if (! get_keyval(conf, "writeFreeEnergyFile", dump_fes, true))
get_keyval(conf, "dumpFreeEnergyFile", dump_fes, true, colvarparse::parse_silent);
get_keyval(conf, "saveFreeEnergyFile", dump_fes_save, false);
if (get_keyval(conf, "saveFreeEnergyFile", dump_fes_save, false, colvarparse::parse_silent)) {
cvm::log("Option \"saveFreeEnergyFile\" is deprecated, "
"please use \"keepFreeEnergyFiles\" instead.");
}
get_keyval(conf, "keepFreeEnergyFiles", dump_fes_save, dump_fes_save);
hills_energy = new colvar_grid_scalar(colvars);
hills_energy_gradients = new colvar_grid_gradient(colvars);

View File

@ -612,3 +612,250 @@ cvm::real colvarbias_restraint_linear::restraint_convert_k(cvm::real k,
colvarbias_restraint_histogram::colvarbias_restraint_histogram(char const *key)
: colvarbias(key)
{
lower_boundary = 0.0;
upper_boundary = 0.0;
width = 0.0;
gaussian_width = 0.0;
}
int colvarbias_restraint_histogram::init(std::string const &conf)
{
colvarbias::init(conf);
get_keyval(conf, "lowerBoundary", lower_boundary, lower_boundary);
get_keyval(conf, "upperBoundary", upper_boundary, upper_boundary);
get_keyval(conf, "width", width, width);
if (width <= 0.0) {
cvm::error("Error: \"width\" must be positive.\n", INPUT_ERROR);
}
get_keyval(conf, "gaussianWidth", gaussian_width, 2.0 * width, colvarparse::parse_silent);
get_keyval(conf, "gaussianSigma", gaussian_width, 2.0 * width);
if (lower_boundary >= upper_boundary) {
cvm::error("Error: the upper boundary, "+
cvm::to_str(upper_boundary)+
", is not higher than the lower boundary, "+
cvm::to_str(lower_boundary)+".\n",
INPUT_ERROR);
}
cvm::real const nbins = (upper_boundary - lower_boundary) / width;
int const nbins_round = (int)(nbins);
if (std::fabs(nbins - cvm::real(nbins_round)) > 1.0E-10) {
cvm::log("Warning: grid interval ("+
cvm::to_str(lower_boundary, cvm::cv_width, cvm::cv_prec)+" - "+
cvm::to_str(upper_boundary, cvm::cv_width, cvm::cv_prec)+
") is not commensurate to its bin width ("+
cvm::to_str(width, cvm::cv_width, cvm::cv_prec)+").\n");
}
p.resize(nbins_round);
ref_p.resize(nbins_round);
p_diff.resize(nbins_round);
bool const inline_ref_p =
get_keyval(conf, "refHistogram", ref_p.data_array(), ref_p.data_array());
std::string ref_p_file;
get_keyval(conf, "refHistogramFile", ref_p_file, std::string(""));
if (ref_p_file.size()) {
if (inline_ref_p) {
cvm::error("Error: cannot specify both refHistogram and refHistogramFile at the same time.\n",
INPUT_ERROR);
} else {
std::ifstream is(ref_p_file.c_str());
std::string data_s = "";
std::string line;
while (getline_nocomments(is, line)) {
data_s.append(line+"\n");
}
if (data_s.size() == 0) {
cvm::error("Error: file \""+ref_p_file+"\" empty or unreadable.\n", FILE_ERROR);
}
is.close();
cvm::vector1d<cvm::real> data;
if (data.from_simple_string(data_s) != 0) {
cvm::error("Error: could not read histogram from file \""+ref_p_file+"\".\n");
}
if (data.size() == 2*ref_p.size()) {
// file contains both x and p(x)
size_t i;
for (i = 0; i < ref_p.size(); i++) {
ref_p[i] = data[2*i+1];
}
} else if (data.size() == ref_p.size()) {
ref_p = data;
} else {
cvm::error("Error: file \""+ref_p_file+"\" contains a histogram of different length.\n",
INPUT_ERROR);
}
}
}
cvm::real const ref_integral = ref_p.sum() * width;
if (std::fabs(ref_integral - 1.0) > 1.0e-03) {
cvm::log("Reference distribution not normalized, normalizing to unity.\n");
ref_p /= ref_integral;
}
get_keyval(conf, "writeHistogram", b_write_histogram, false);
get_keyval(conf, "forceConstant", force_k, 1.0);
return COLVARS_OK;
}
colvarbias_restraint_histogram::~colvarbias_restraint_histogram()
{
p.resize(0);
ref_p.resize(0);
p_diff.resize(0);
}
int colvarbias_restraint_histogram::update()
{
if (cvm::debug())
cvm::log("Updating the histogram restraint bias \""+this->name+"\".\n");
size_t vector_size = 0;
size_t icv;
for (icv = 0; icv < colvars.size(); icv++) {
vector_size += colvars[icv]->value().size();
}
cvm::real const norm = 1.0/(std::sqrt(2.0*PI)*gaussian_width*vector_size);
// calculate the histogram
p.reset();
for (icv = 0; icv < colvars.size(); icv++) {
colvarvalue const &cv = colvars[icv]->value();
if (cv.type() == colvarvalue::type_scalar) {
cvm::real const cv_value = cv.real_value;
size_t igrid;
for (igrid = 0; igrid < p.size(); igrid++) {
cvm::real const x_grid = (lower_boundary + (igrid+0.5)*width);
p[igrid] += norm * std::exp(-1.0 * (x_grid - cv_value) * (x_grid - cv_value) /
(2.0 * gaussian_width * gaussian_width));
}
} else if (cv.type() == colvarvalue::type_vector) {
size_t idim;
for (idim = 0; idim < cv.vector1d_value.size(); idim++) {
cvm::real const cv_value = cv.vector1d_value[idim];
size_t igrid;
for (igrid = 0; igrid < p.size(); igrid++) {
cvm::real const x_grid = (lower_boundary + (igrid+0.5)*width);
p[igrid] += norm * std::exp(-1.0 * (x_grid - cv_value) * (x_grid - cv_value) /
(2.0 * gaussian_width * gaussian_width));
}
}
} else {
// TODO
}
}
cvm::real const force_k_cv = force_k * vector_size;
// calculate the difference between current and reference
p_diff = p - ref_p;
bias_energy = 0.5 * force_k_cv * p_diff * p_diff;
// calculate the forces
for (icv = 0; icv < colvars.size(); icv++) {
colvarvalue const &cv = colvars[icv]->value();
colvarvalue &cv_force = colvar_forces[icv];
cv_force.type(cv);
cv_force.reset();
if (cv.type() == colvarvalue::type_scalar) {
cvm::real const cv_value = cv.real_value;
cvm::real &force = cv_force.real_value;
size_t igrid;
for (igrid = 0; igrid < p.size(); igrid++) {
cvm::real const x_grid = (lower_boundary + (igrid+0.5)*width);
force += force_k_cv * p_diff[igrid] *
norm * std::exp(-1.0 * (x_grid - cv_value) * (x_grid - cv_value) /
(2.0 * gaussian_width * gaussian_width)) *
(-1.0 * (x_grid - cv_value) / (gaussian_width * gaussian_width));
}
} else if (cv.type() == colvarvalue::type_vector) {
size_t idim;
for (idim = 0; idim < cv.vector1d_value.size(); idim++) {
cvm::real const cv_value = cv.vector1d_value[idim];
cvm::real &force = cv_force.vector1d_value[idim];
size_t igrid;
for (igrid = 0; igrid < p.size(); igrid++) {
cvm::real const x_grid = (lower_boundary + (igrid+0.5)*width);
force += force_k_cv * p_diff[igrid] *
norm * std::exp(-1.0 * (x_grid - cv_value) * (x_grid - cv_value) /
(2.0 * gaussian_width * gaussian_width)) *
(-1.0 * (x_grid - cv_value) / (gaussian_width * gaussian_width));
}
}
} else {
// TODO
}
}
return COLVARS_OK;
}
std::ostream & colvarbias_restraint_histogram::write_restart(std::ostream &os)
{
if (b_write_histogram) {
std::string file_name(cvm::output_prefix+"."+this->name+".hist.dat");
std::ofstream os(file_name.c_str());
os << "# " << cvm::wrap_string(colvars[0]->name, cvm::cv_width)
<< " " << "p(" << cvm::wrap_string(colvars[0]->name, cvm::cv_width-3)
<< ")\n";
size_t igrid;
for (igrid = 0; igrid < p.size(); igrid++) {
cvm::real const x_grid = (lower_boundary + (igrid+1)*width);
os << " "
<< std::setprecision(cvm::cv_prec)
<< std::setw(cvm::cv_width)
<< x_grid
<< " "
<< std::setprecision(cvm::cv_prec)
<< std::setw(cvm::cv_width)
<< p[igrid] << "\n";
}
os.close();
}
return os;
}
std::istream & colvarbias_restraint_histogram::read_restart(std::istream &is)
{
return is;
}
std::ostream & colvarbias_restraint_histogram::write_traj_label(std::ostream &os)
{
os << " ";
if (b_output_energy) {
os << " E_"
<< cvm::wrap_string(this->name, cvm::en_width-2);
}
return os;
}
std::ostream & colvarbias_restraint_histogram::write_traj(std::ostream &os)
{
os << " ";
if (b_output_energy) {
os << " "
<< std::setprecision(cvm::en_prec) << std::setw(cvm::en_width)
<< bias_energy;
}
return os;
}

View File

@ -168,4 +168,52 @@ protected:
};
/// Restrain the 1D histogram of a set of variables (or of a multidimensional one)
// TODO this could be reimplemented more cleanly as a derived class of both restraint and histogram
class colvarbias_restraint_histogram : public colvarbias {
public:
colvarbias_restraint_histogram(char const *key);
int init(std::string const &conf);
~colvarbias_restraint_histogram();
virtual int update();
virtual std::istream & read_restart(std::istream &is);
virtual std::ostream & write_restart(std::ostream &os);
virtual std::ostream & write_traj_label(std::ostream &os);
virtual std::ostream & write_traj(std::ostream &os);
protected:
/// Probability density
cvm::vector1d<cvm::real> p;
/// Reference probability density
cvm::vector1d<cvm::real> ref_p;
/// Difference between probability density and reference
cvm::vector1d<cvm::real> p_diff;
/// Lower boundary of the grid
cvm::real lower_boundary;
/// Upper boundary of the grid
cvm::real upper_boundary;
/// Resolution of the grid
cvm::real width;
/// Width of the Gaussians
cvm::real gaussian_width;
/// Restraint force constant
cvm::real force_k;
/// Write the histogram to a file
bool b_write_histogram;
};
#endif

View File

@ -54,6 +54,21 @@ colvar::cvc::cvc(std::string const &conf)
}
int colvar::cvc::init_total_force_params(std::string const &conf)
{
if (get_keyval_feature(this, conf, "oneSiteSystemForce",
f_cvc_one_site_total_force, is_enabled(f_cvc_one_site_total_force))) {
cvm::log("Warning: keyword \"oneSiteSystemForce\" is deprecated: "
"please use \"oneSiteTotalForce\" instead.\n");
}
if (get_keyval_feature(this, conf, "oneSiteTotalForce",
f_cvc_one_site_total_force, is_enabled(f_cvc_one_site_total_force))) {
cvm::log("Computing total force on group 1 only");
}
return COLVARS_OK;
}
cvm::atom_group *colvar::cvc::parse_group(std::string const &conf,
char const *group_key,
bool optional)
@ -77,8 +92,6 @@ cvm::atom_group *colvar::cvc::parse_group(std::string const &conf,
if (is_enabled(f_cvc_scalable)) {
cvm::log("Will enable scalable calculation for group \""+group->key+"\".\n");
} else {
cvm::log("Scalable calculation is not available for group \""+group->key+"\" with the current configuration.\n");
}
}

View File

@ -108,6 +108,9 @@ public:
char const *group_key,
bool optional = false);
/// \brief Parse options pertaining to total force calculation
virtual int init_total_force_params(std::string const &conf);
/// \brief After construction, set data related to dependency handling
int setup();
@ -306,9 +309,6 @@ protected:
cvm::rvector dist_v;
/// Use absolute positions, ignoring PBCs when present
bool b_no_PBC;
/// Compute total force on first site only to avoid unwanted
/// coupling to other colvars (see e.g. Ciccotti et al., 2005)
bool b_1site_force;
public:
distance(std::string const &conf);
distance();
@ -388,9 +388,6 @@ protected:
cvm::atom_group *ref2;
/// Use absolute positions, ignoring PBCs when present
bool b_no_PBC;
/// Compute total force on one site only to avoid unwanted
/// coupling to other colvars (see e.g. Ciccotti et al., 2005)
bool b_1site_force;
/// Vector on which the distance vector is projected
cvm::rvector axis;
/// Norm of the axis
@ -854,6 +851,62 @@ public:
colvarvalue const &x2) const;
};
/// \brief Colvar component: coordination number between two groups
/// (colvarvalue::type_scalar type, range [0:N1*N2])
class colvar::groupcoordnum
: public colvar::distance
{
protected:
/// \brief "Cutoff" for isotropic calculation (default)
cvm::real r0;
/// \brief "Cutoff vector" for anisotropic calculation
cvm::rvector r0_vec;
/// \brief Wheter dist/r0 or \vec{dist}*\vec{1/r0_vec} should ne be
/// used
bool b_anisotropic;
/// Integer exponent of the function numerator
int en;
/// Integer exponent of the function denominator
int ed;
public:
/// Constructor
groupcoordnum(std::string const &conf);
groupcoordnum();
virtual inline ~groupcoordnum() {}
virtual void calc_value();
virtual void calc_gradients();
virtual void apply_force(colvarvalue const &force);
template<bool b_gradients>
/// \brief Calculate a coordination number through the function
/// (1-x**n)/(1-x**m), x = |A1-A2|/r0 \param r0 "cutoff" for the
/// coordination number \param exp_num \i n exponent \param exp_den
/// \i m exponent \param A1 atom \param A2 atom
static cvm::real switching_function(cvm::real const &r0,
int const &exp_num, int const &exp_den,
cvm::atom &A1, cvm::atom &A2);
/*
template<bool b_gradients>
/// \brief Calculate a coordination number through the function
/// (1-x**n)/(1-x**m), x = |(A1-A2)*(r0_vec)^-|1 \param r0_vec
/// vector of different cutoffs in the three directions \param
/// exp_num \i n exponent \param exp_den \i m exponent \param A1
/// atom \param A2 atom
static cvm::real switching_function(cvm::rvector const &r0_vec,
int const &exp_num, int const &exp_den,
cvm::atom &A1, cvm::atom &A2);
virtual cvm::real dist2(colvarvalue const &x1,
colvarvalue const &x2) const;
virtual colvarvalue dist2_lgrad(colvarvalue const &x1,
colvarvalue const &x2) const;
virtual colvarvalue dist2_rgrad(colvarvalue const &x1,
colvarvalue const &x2) const;
*/
};
/// \brief Colvar component: hydrogen bond, defined as the product of
/// a colvar::coordnum and 1/2*(1-cos((180-ang)/ang_tol))
/// (colvarvalue::type_scalar type, range [0:1])

View File

@ -18,9 +18,9 @@ colvar::angle::angle(std::string const &conf)
group1 = parse_group(conf, "group1");
group2 = parse_group(conf, "group2");
group3 = parse_group(conf, "group3");
if (get_keyval(conf, "oneSiteSystemForce", b_1site_force, false)) {
cvm::log("Computing total force on group 1 only");
}
init_total_force_params(conf);
x.type(colvarvalue::type_scalar);
}
@ -33,7 +33,6 @@ colvar::angle::angle(cvm::atom const &a1,
provide(f_cvc_inv_gradient);
provide(f_cvc_Jacobian);
provide(f_cvc_com_based);
b_1site_force = false;
group1 = new cvm::atom_group(std::vector<cvm::atom>(1, a1));
group2 = new cvm::atom_group(std::vector<cvm::atom>(1, a2));
@ -94,7 +93,7 @@ void colvar::angle::calc_force_invgrads()
// centered on group2, which means group2 is kept fixed
// when propagating changes in the angle)
if (b_1site_force) {
if (is_enabled(f_cvc_one_site_total_force)) {
group1->read_total_forces();
cvm::real norm_fact = 1.0 / dxdr1.norm2();
ft.real_value = norm_fact * dxdr1 * group1->total_force();
@ -140,9 +139,8 @@ colvar::dipole_angle::dipole_angle(std::string const &conf)
group2 = parse_group(conf, "group2");
group3 = parse_group(conf, "group3");
if (get_keyval(conf, "oneSiteSystemForce", b_1site_force, false)) {
cvm::log("Computing total force on group 1 only");
}
init_total_force_params(conf);
x.type(colvarvalue::type_scalar);
}
@ -152,7 +150,6 @@ colvar::dipole_angle::dipole_angle(cvm::atom const &a1,
cvm::atom const &a3)
{
function_type = "dipole_angle";
b_1site_force = false;
group1 = new cvm::atom_group(std::vector<cvm::atom>(1, a1));
group2 = new cvm::atom_group(std::vector<cvm::atom>(1, a2));
@ -250,14 +247,13 @@ colvar::dihedral::dihedral(std::string const &conf)
provide(f_cvc_Jacobian);
provide(f_cvc_com_based);
if (get_keyval(conf, "oneSiteSystemForce", b_1site_force, false)) {
cvm::log("Computing total force on group 1 only");
}
group1 = parse_group(conf, "group1");
group2 = parse_group(conf, "group2");
group3 = parse_group(conf, "group3");
group4 = parse_group(conf, "group4");
init_total_force_params(conf);
x.type(colvarvalue::type_scalar);
}
@ -422,7 +418,7 @@ void colvar::dihedral::calc_force_invgrads()
cvm::real const fact4 = d34 * std::sqrt(1.0 - dot4 * dot4);
group1->read_total_forces();
if ( b_1site_force ) {
if (is_enabled(f_cvc_one_site_total_force)) {
// This is only measuring the force on group 1
ft.real_value = PI/180.0 * fact1 * (cross1 * group1->total_force());
} else {

View File

@ -338,3 +338,151 @@ void colvar::selfcoordnum::apply_force(colvarvalue const &force)
}
}
// groupcoordnum member functions
colvar::groupcoordnum::groupcoordnum(std::string const &conf)
: distance(conf), b_anisotropic(false)
{
function_type = "groupcoordnum";
x.type(colvarvalue::type_scalar);
// group1 and group2 are already initialized by distance()
if (group1->b_dummy || group2->b_dummy)
cvm::fatal_error("Error: neither group can be a dummy atom\n");
bool const b_scale = get_keyval(conf, "cutoff", r0,
cvm::real(4.0 * cvm::unit_angstrom()));
if (get_keyval(conf, "cutoff3", r0_vec,
cvm::rvector(4.0, 4.0, 4.0), parse_silent)) {
if (b_scale)
cvm::fatal_error("Error: cannot specify \"scale\" and "
"\"scale3\" at the same time.\n");
b_anisotropic = true;
// remove meaningless negative signs
if (r0_vec.x < 0.0) r0_vec.x *= -1.0;
if (r0_vec.y < 0.0) r0_vec.y *= -1.0;
if (r0_vec.z < 0.0) r0_vec.z *= -1.0;
}
get_keyval(conf, "expNumer", en, int(6) );
get_keyval(conf, "expDenom", ed, int(12));
if ( (en%2) || (ed%2) ) {
cvm::fatal_error("Error: odd exponents provided, can only use even ones.\n");
}
}
colvar::groupcoordnum::groupcoordnum()
: b_anisotropic(false)
{
function_type = "groupcoordnum";
x.type(colvarvalue::type_scalar);
}
template<bool calculate_gradients>
cvm::real colvar::groupcoordnum::switching_function(cvm::real const &r0,
int const &en,
int const &ed,
cvm::atom &A1,
cvm::atom &A2)
{
cvm::rvector const diff = cvm::position_distance(A1.pos, A2.pos);
cvm::real const l2 = diff.norm2()/(r0*r0);
// Assume en and ed are even integers, and avoid sqrt in the following
int const en2 = en/2;
int const ed2 = ed/2;
cvm::real const xn = std::pow(l2, en2);
cvm::real const xd = std::pow(l2, ed2);
cvm::real const func = (1.0-xn)/(1.0-xd);
if (calculate_gradients) {
cvm::real const dFdl2 = (1.0/(1.0-xd))*(en2*(xn/l2) - func*ed2*(xd/l2))*(-1.0);
cvm::rvector const dl2dx = (2.0/(r0*r0))*diff;
A1.grad += (-1.0)*dFdl2*dl2dx;
A2.grad += dFdl2*dl2dx;
}
return func;
}
#if 0 // AMG: I don't think there's any reason to support anisotropic,
// and I don't have those flags below in calc_value, but
// if I need them, I'll also need to uncomment this method
template<bool calculate_gradients>
cvm::real colvar::groupcoordnum::switching_function(cvm::rvector const &r0_vec,
int const &en,
int const &ed,
cvm::atom &A1,
cvm::atom &A2)
{
cvm::rvector const diff = cvm::position_distance(A1.pos, A2.pos);
cvm::rvector const scal_diff(diff.x/r0_vec.x, diff.y/r0_vec.y, diff.z/r0_vec.z);
cvm::real const l2 = scal_diff.norm2();
// Assume en and ed are even integers, and avoid sqrt in the following
int const en2 = en/2;
int const ed2 = ed/2;
cvm::real const xn = std::pow(l2, en2);
cvm::real const xd = std::pow(l2, ed2);
cvm::real const func = (1.0-xn)/(1.0-xd);
if (calculate_gradients) {
cvm::real const dFdl2 = (1.0/(1.0-xd))*(en2*(xn/l2) - func*ed2*(xd/l2))*(-1.0);
cvm::rvector const dl2dx((2.0/(r0_vec.x*r0_vec.x))*diff.x,
(2.0/(r0_vec.y*r0_vec.y))*diff.y,
(2.0/(r0_vec.z*r0_vec.z))*diff.z);
A1.grad += (-1.0)*dFdl2*dl2dx;
A2.grad += dFdl2*dl2dx;
}
return func;
}
#endif
void colvar::groupcoordnum::calc_value()
{
// create fake atoms to hold the com coordinates
cvm::atom group1_com_atom;
cvm::atom group2_com_atom;
group1_com_atom.pos = group1->center_of_mass();
group2_com_atom.pos = group2->center_of_mass();
x.real_value = coordnum::switching_function<false>(r0, en, ed,
group1_com_atom, group2_com_atom);
}
void colvar::groupcoordnum::calc_gradients()
{
cvm::atom group1_com_atom;
cvm::atom group2_com_atom;
group1_com_atom.pos = group1->center_of_mass();
group2_com_atom.pos = group2->center_of_mass();
coordnum::switching_function<true>(r0, en, ed, group1_com_atom, group2_com_atom);
group1->set_weighted_gradient(group1_com_atom.grad);
group2->set_weighted_gradient(group2_com_atom.grad);
}
void colvar::groupcoordnum::apply_force(colvarvalue const &force)
{
if (!group1->noforce)
group1->apply_colvar_force(force.real_value);
if (!group2->noforce)
group2->apply_colvar_force(force.real_value);
}

View File

@ -18,14 +18,14 @@ colvar::distance::distance(std::string const &conf)
provide(f_cvc_Jacobian);
provide(f_cvc_com_based);
group1 = parse_group(conf, "group1");
group2 = parse_group(conf, "group2");
if (get_keyval(conf, "forceNoPBC", b_no_PBC, false)) {
cvm::log("Computing distance using absolute positions (not minimal-image)");
}
if (get_keyval(conf, "oneSiteSystemForce", b_1site_force, false)) {
cvm::log("Computing total force on group 1 only");
}
group1 = parse_group(conf, "group1");
group2 = parse_group(conf, "group2");
init_total_force_params(conf);
x.type(colvarvalue::type_scalar);
}
@ -38,7 +38,6 @@ colvar::distance::distance()
provide(f_cvc_inv_gradient);
provide(f_cvc_Jacobian);
provide(f_cvc_com_based);
b_1site_force = false;
b_no_PBC = false;
x.type(colvarvalue::type_scalar);
}
@ -67,7 +66,7 @@ void colvar::distance::calc_gradients()
void colvar::distance::calc_force_invgrads()
{
group1->read_total_forces();
if ( b_1site_force ) {
if (is_enabled(f_cvc_one_site_total_force)) {
ft.real_value = -1.0 * (group1->total_force() * dist_v.unit());
} else {
group2->read_total_forces();
@ -97,6 +96,7 @@ colvar::distance_vec::distance_vec(std::string const &conf)
: distance(conf)
{
function_type = "distance_vec";
provide(f_cvc_com_based);
x.type(colvarvalue::type_3vector);
}
@ -105,6 +105,7 @@ colvar::distance_vec::distance_vec()
: distance()
{
function_type = "distance_vec";
provide(f_cvc_com_based);
x.type(colvarvalue::type_3vector);
}
@ -185,9 +186,9 @@ colvar::distance_z::distance_z(std::string const &conf)
if (get_keyval(conf, "forceNoPBC", b_no_PBC, false)) {
cvm::log("Computing distance using absolute positions (not minimal-image)");
}
if (get_keyval(conf, "oneSiteSystemForce", b_1site_force, false)) {
cvm::log("Computing total force on group \"main\" only");
}
init_total_force_params(conf);
}
colvar::distance_z::distance_z()
@ -251,7 +252,7 @@ void colvar::distance_z::calc_force_invgrads()
{
main->read_total_forces();
if (fixed_axis && !b_1site_force) {
if (fixed_axis && !is_enabled(f_cvc_one_site_total_force)) {
ref1->read_total_forces();
ft.real_value = 0.5 * ((main->total_force() - ref1->total_force()) * axis);
} else {
@ -351,7 +352,7 @@ void colvar::distance_xy::calc_force_invgrads()
{
main->read_total_forces();
if (fixed_axis && !b_1site_force) {
if (fixed_axis && !is_enabled(f_cvc_one_site_total_force)) {
ref1->read_total_forces();
ft.real_value = 0.5 / x.real_value * ((main->total_force() - ref1->total_force()) * dist_v_ortho);
} else {
@ -382,6 +383,7 @@ colvar::distance_dir::distance_dir(std::string const &conf)
: distance(conf)
{
function_type = "distance_dir";
provide(f_cvc_com_based);
x.type(colvarvalue::type_unit3vector);
}
@ -390,6 +392,7 @@ colvar::distance_dir::distance_dir()
: distance()
{
function_type = "distance_dir";
provide(f_cvc_com_based);
x.type(colvarvalue::type_unit3vector);
}
@ -461,7 +464,6 @@ colvar::distance_inv::distance_inv()
{
function_type = "distance_inv";
exponent = 6;
b_1site_force = false;
x.type(colvarvalue::type_scalar);
}

View File

@ -293,6 +293,9 @@ void colvardeps::init_cv_requires() {
f_description(f_cv_output_total_force, "output total force");
f_req_self(f_cv_output_total_force, f_cv_total_force);
f_description(f_cv_subtract_applied_force, "subtract applied force from total force");
f_req_self(f_cv_subtract_applied_force, f_cv_total_force);
f_description(f_cv_lower_boundary, "lower boundary");
f_req_self(f_cv_lower_boundary, f_cv_scalar);
@ -376,6 +379,11 @@ void colvardeps::init_cvc_requires() {
f_description(f_cvc_com_based, "depends on group centers of mass");
// Compute total force on first site only to avoid unwanted
// coupling to other colvars (see e.g. Ciccotti et al., 2005)
f_description(f_cvc_one_site_total_force, "compute total collective force only from one group center");
f_req_self(f_cvc_one_site_total_force, f_cvc_com_based);
f_description(f_cvc_scalable, "scalable calculation");
f_req_self(f_cvc_scalable, f_cvc_scalable_com);

View File

@ -176,6 +176,8 @@ public:
f_cv_total_force,
/// \brief Calculate total force from atomic forces
f_cv_total_force_calc,
/// \brief Subtract the applied force from the total force
f_cv_subtract_applied_force,
/// \brief Estimate Jacobian derivative
f_cv_Jacobian,
/// \brief Do not report the Jacobian force as part of the total force
@ -236,6 +238,7 @@ public:
/// \brief If enabled, calc_gradients() will call debug_gradients() for every group needed
f_cvc_debug_gradient,
f_cvc_Jacobian,
f_cvc_one_site_total_force,
f_cvc_com_based,
f_cvc_scalable,
f_cvc_scalable_com,

View File

@ -382,8 +382,8 @@ public:
inline int current_bin_scalar(int const i, int const iv) const
{
return value_to_bin_scalar(actual_value[i] ?
cv[i]->actual_value().vector1d_value[iv] :
cv[i]->value().vector1d_value[iv], i);
cv[i]->actual_value().vector1d_value[iv] :
cv[i]->value().vector1d_value[iv], i);
}
/// \brief Use the lower boundary and the width to report which bin
@ -395,8 +395,8 @@ public:
/// \brief Same as the standard version, but uses another grid definition
inline int value_to_bin_scalar(colvarvalue const &value,
colvarvalue const &new_offset,
cvm::real const &new_width) const
colvarvalue const &new_offset,
cvm::real const &new_width) const
{
return (int) std::floor( (value.real_value - new_offset.real_value) / new_width );
}
@ -410,22 +410,22 @@ public:
/// \brief Same as the standard version, but uses different parameters
inline colvarvalue bin_to_value_scalar(int const &i_bin,
colvarvalue const &new_offset,
cvm::real const &new_width) const
colvarvalue const &new_offset,
cvm::real const &new_width) const
{
return new_offset.real_value + new_width * (0.5 + i_bin);
}
/// Set the value at the point with index ix
inline void set_value(std::vector<int> const &ix,
T const &t,
size_t const &imult = 0)
T const &t,
size_t const &imult = 0)
{
data[this->address(ix)+imult] = t;
has_data = true;
}
/// \brief Get the change from this to other_grid
/// \brief Get the change from this to other_grid
/// and store the result in this.
/// this_grid := other_grid - this_grid
/// Grids must have the same dimensions.
@ -434,13 +434,13 @@ public:
if (other_grid.multiplicity() != this->multiplicity()) {
cvm::error("Error: trying to subtract two grids with "
"different multiplicity.\n");
"different multiplicity.\n");
return;
}
if (other_grid.data.size() != this->data.size()) {
cvm::error("Error: trying to subtract two grids with "
"different size.\n");
"different size.\n");
return;
}
@ -457,13 +457,13 @@ public:
{
if (other_grid.multiplicity() != this->multiplicity()) {
cvm::error("Error: trying to copy two grids with "
"different multiplicity.\n");
"different multiplicity.\n");
return;
}
if (other_grid.data.size() != this->data.size()) {
cvm::error("Error: trying to copy two grids with "
"different size.\n");
"different size.\n");
return;
}
@ -493,7 +493,7 @@ public:
/// \brief Get the binned value indexed by ix, or the first of them
/// if the multiplicity is larger than 1
inline T const & value(std::vector<int> const &ix,
size_t const &imult = 0) const
size_t const &imult = 0) const
{
return data[this->address(ix) + imult];
}
@ -541,7 +541,7 @@ public:
/// boundaries; a negative number is returned if the given point is
/// off-grid
inline cvm::real bin_distance_from_boundaries(std::vector<colvarvalue> const &values,
bool skip_hard_boundaries = false)
bool skip_hard_boundaries = false)
{
cvm::real minimum = 1.0E+16;
for (size_t i = 0; i < nd; i++) {
@ -574,7 +574,7 @@ public:
{
if (other_grid.multiplicity() != this->multiplicity()) {
cvm::error("Error: trying to merge two grids with values of "
"different multiplicity.\n");
"different multiplicity.\n");
return;
}
@ -593,8 +593,8 @@ public:
for (size_t i = 0; i < nd; i++) {
oix[i] =
value_to_bin_scalar(bin_to_value_scalar(ix[i], gb[i], gw[i]),
ogb[i],
ogw[i]);
ogb[i],
ogw[i]);
}
if (! other_grid.index_ok(oix)) {
@ -614,11 +614,11 @@ public:
/// \brief Add data from another grid of the same type, AND
/// identical definition (boundaries, widths)
void add_grid(colvar_grid<T> const &other_grid,
cvm::real scale_factor = 1.0)
cvm::real scale_factor = 1.0)
{
if (other_grid.multiplicity() != this->multiplicity()) {
cvm::error("Error: trying to sum togetehr two grids with values of "
"different multiplicity.\n");
"different multiplicity.\n");
return;
}
if (scale_factor != 1.0)
@ -636,7 +636,7 @@ public:
/// \brief Return the value suitable for output purposes (so that it
/// may be rescaled or manipulated without changing it permanently)
virtual inline T value_output(std::vector<int> const &ix,
size_t const &imult = 0)
size_t const &imult = 0)
{
return value(ix, imult);
}
@ -645,9 +645,9 @@ public:
/// into the internal representation (the two may be different,
/// e.g. when using colvar_grid_count)
virtual inline void value_input(std::vector<int> const &ix,
T const &t,
size_t const &imult = 0,
bool add = false)
T const &t,
size_t const &imult = 0,
bool add = false)
{
if ( add )
data[address(ix) + imult] += t;
@ -737,7 +737,8 @@ public:
}
/// Read a grid definition from a config string
int parse_params(std::string const &conf)
int parse_params(std::string const &conf,
colvarparse::Parse_Mode const parse_mode = colvarparse::parse_normal)
{
if (cvm::debug()) cvm::log("Reading grid configuration from string.\n");
@ -746,30 +747,33 @@ public:
{
size_t nd_in = 0;
// this is only used in state files
colvarparse::get_keyval(conf, "n_colvars", nd_in, nd, colvarparse::parse_silent);
if (nd_in != nd) {
cvm::error("Error: trying to read data for a grid "
"that contains a different number of colvars ("+
cvm::to_str(nd_in)+") than the grid defined "
"in the configuration file("+cvm::to_str(nd)+
").\n");
"that contains a different number of colvars ("+
cvm::to_str(nd_in)+") than the grid defined "
"in the configuration file("+cvm::to_str(nd)+
").\n");
return COLVARS_ERROR;
}
}
// underscore keywords are used in state file
colvarparse::get_keyval(conf, "lower_boundaries",
lower_boundaries, lower_boundaries, colvarparse::parse_silent);
lower_boundaries, lower_boundaries, colvarparse::parse_silent);
colvarparse::get_keyval(conf, "upper_boundaries",
upper_boundaries, upper_boundaries, colvarparse::parse_silent);
upper_boundaries, upper_boundaries, colvarparse::parse_silent);
// support also camel case
// camel case keywords are used in config file
colvarparse::get_keyval(conf, "lowerBoundaries",
lower_boundaries, lower_boundaries, colvarparse::parse_silent);
lower_boundaries, lower_boundaries, parse_mode);
colvarparse::get_keyval(conf, "upperBoundaries",
upper_boundaries, upper_boundaries, colvarparse::parse_silent);
upper_boundaries, upper_boundaries, parse_mode);
colvarparse::get_keyval(conf, "widths", widths, widths, colvarparse::parse_silent);
colvarparse::get_keyval(conf, "widths", widths, widths, parse_mode);
// only used in state file
colvarparse::get_keyval(conf, "sizes", nx, nx, colvarparse::parse_silent);
if (nd < lower_boundaries.size()) nd = lower_boundaries.size();
@ -808,13 +812,13 @@ public:
{
for (size_t i = 0; i < nd; i++) {
if ( (std::sqrt(cv[i]->dist2(cv[i]->lower_boundary,
lower_boundaries[i])) > 1.0E-10) ||
lower_boundaries[i])) > 1.0E-10) ||
(std::sqrt(cv[i]->dist2(cv[i]->upper_boundary,
upper_boundaries[i])) > 1.0E-10) ||
upper_boundaries[i])) > 1.0E-10) ||
(std::sqrt(cv[i]->dist2(cv[i]->width,
widths[i])) > 1.0E-10) ) {
widths[i])) > 1.0E-10) ) {
cvm::error("Error: restart information for a grid is "
"inconsistent with that of its colvars.\n");
"inconsistent with that of its colvars.\n");
return;
}
}
@ -830,19 +834,19 @@ public:
// matter: boundaries should be EXACTLY the same (otherwise,
// map_grid() should be used)
if ( (std::fabs(other_grid.lower_boundaries[i] -
lower_boundaries[i]) > 1.0E-10) ||
lower_boundaries[i]) > 1.0E-10) ||
(std::fabs(other_grid.upper_boundaries[i] -
upper_boundaries[i]) > 1.0E-10) ||
upper_boundaries[i]) > 1.0E-10) ||
(std::fabs(other_grid.widths[i] -
widths[i]) > 1.0E-10) ||
widths[i]) > 1.0E-10) ||
(data.size() != other_grid.data.size()) ) {
cvm::error("Error: inconsistency between "
"two grids that are supposed to be equal, "
"aside from the data stored.\n");
return;
cvm::error("Error: inconsistency between "
"two grids that are supposed to be equal, "
"aside from the data stored.\n");
return;
}
}
}
}
/// \brief Read grid entry in restart file
@ -853,7 +857,7 @@ public:
if ((is >> key) && (key == std::string("grid_parameters"))) {
is.seekg(start_pos, std::ios::beg);
is >> colvarparse::read_block("grid_parameters", conf);
parse_params(conf);
parse_params(conf, colvarparse::parse_silent);
} else {
cvm::log("Grid parameters are missing in the restart file, using those from the configuration.\n");
is.seekg(start_pos, std::ios::beg);
@ -871,11 +875,11 @@ public:
}
/// \brief Write the grid data without labels, as they are
/// represented in memory
/// \param buf_size Number of values per line
/// \brief Write the grid data without labels, as they are
/// represented in memory
/// \param buf_size Number of values per line
std::ostream & write_raw(std::ostream &os,
size_t const buf_size = 3)
size_t const buf_size = 3)
{
std::streamsize const w = os.width();
std::streamsize const p = os.precision();
@ -935,10 +939,10 @@ public:
os << std::setw(2) << "# " << nd << "\n";
for (size_t i = 0; i < nd; i++) {
os << "# "
<< std::setw(10) << lower_boundaries[i]
<< std::setw(10) << widths[i]
<< std::setw(10) << nx[i] << " "
<< periodic[i] << "\n";
<< std::setw(10) << lower_boundaries[i]
<< std::setw(10) << widths[i]
<< std::setw(10) << nx[i] << " "
<< periodic[i] << "\n";
}
@ -951,14 +955,14 @@ public:
for (size_t i = 0; i < nd; i++) {
os << " "
<< std::setw(w) << std::setprecision(p)
<< bin_to_value_scalar(ix[i], i);
<< std::setw(w) << std::setprecision(p)
<< bin_to_value_scalar(ix[i], i);
}
os << " ";
for (size_t imult = 0; imult < mult; imult++) {
os << " "
<< std::setw(w) << std::setprecision(p)
<< value_output(ix, imult);
<< std::setw(w) << std::setprecision(p)
<< value_output(ix, imult);
}
os << "\n";
}
@ -986,7 +990,7 @@ public:
if ( !(is >> hash) || (hash != "#") ) {
cvm::error("Error reading grid at position "+
cvm::to_str(is.tellg())+" in stream(read \"" + hash + "\")\n");
cvm::to_str(is.tellg())+" in stream(read \"" + hash + "\")\n");
return is;
}
@ -1008,7 +1012,7 @@ public:
for (size_t i = 0; i < nd; i++ ) {
if ( !(is >> hash) || (hash != "#") ) {
cvm::error("Error reading grid at position "+
cvm::to_str(is.tellg())+" in stream(read \"" + hash + "\")\n");
cvm::to_str(is.tellg())+" in stream(read \"" + hash + "\")\n");
return is;
}
@ -1016,10 +1020,10 @@ public:
if ( (std::fabs(lower - lower_boundaries[i].real_value) > 1.0e-10) ||
(std::fabs(width - widths[i] ) > 1.0e-10) ||
(nx_read[i] != nx[i]) ) {
(std::fabs(width - widths[i] ) > 1.0e-10) ||
(nx_read[i] != nx[i]) ) {
cvm::log("Warning: reading from different grid definition (colvar "
+ cvm::to_str(i+1) + "); remapping data on new grid.\n");
+ cvm::to_str(i+1) + "); remapping data on new grid.\n");
remap = true;
}
}
@ -1063,7 +1067,6 @@ public:
/// \brief Write the grid data without labels, as they are
/// represented in memory
/// \param buf_size Number of values per line
std::ostream & write_opendx(std::ostream &os)
{
// write the header
@ -1122,11 +1125,11 @@ public:
/// Constructor
colvar_grid_count(std::vector<int> const &nx_i,
size_t const &def_count = 0);
size_t const &def_count = 0);
/// Constructor from a vector of colvars
colvar_grid_count(std::vector<colvar *> &colvars,
size_t const &def_count = 0);
size_t const &def_count = 0);
/// Increment the counter at given position
inline void incr_count(std::vector<int> const &ix)
@ -1136,7 +1139,7 @@ public:
/// \brief Get the binned count indexed by ix from the newly read data
inline size_t const & new_count(std::vector<int> const &ix,
size_t const &imult = 0)
size_t const &imult = 0)
{
return new_data[address(ix) + imult];
}
@ -1145,9 +1148,9 @@ public:
/// into the internal representation (it may have been rescaled or
/// manipulated)
virtual inline void value_input(std::vector<int> const &ix,
size_t const &t,
size_t const &imult = 0,
bool add = false)
size_t const &t,
size_t const &imult = 0,
bool add = false)
{
if (add) {
data[address(ix)] += t;
@ -1164,7 +1167,7 @@ public:
/// \brief Return the log-gradient from finite differences
/// on the *same* grid for dimension n
inline const cvm::real log_gradient_finite_diff( const std::vector<int> &ix0,
int n = 0)
int n = 0)
{
cvm::real A0, A1;
std::vector<int> ix;
@ -1377,7 +1380,7 @@ public:
/// \brief Return the value of the function at ix divided by its
/// number of samples (if the count grid is defined)
virtual inline cvm::real value_output(std::vector<int> const &ix,
size_t const &imult = 0)
size_t const &imult = 0)
{
if (samples)
return (samples->value(ix) > 0) ?
@ -1391,9 +1394,9 @@ public:
/// into the internal representation (it may have been rescaled or
/// manipulated)
virtual inline void value_input(std::vector<int> const &ix,
cvm::real const &new_value,
size_t const &imult = 0,
bool add = false)
cvm::real const &new_value,
size_t const &imult = 0,
bool add = false)
{
if (add) {
if (samples)

View File

@ -293,6 +293,9 @@ int colvarmodule::parse_biases(std::string const &conf)
/// initialize histograms
parse_biases_type<colvarbias_histogram>(conf, "histogram", n_histo_biases);
/// initialize histogram restraints
parse_biases_type<colvarbias_restraint_histogram>(conf, "histogramRestraint", n_rest_biases);
/// initialize linear restraints
parse_biases_type<colvarbias_restraint_linear>(conf, "linear", n_rest_biases);

View File

@ -4,7 +4,7 @@
#define COLVARMODULE_H
#ifndef COLVARS_VERSION
#define COLVARS_VERSION "2016-09-14"
#define COLVARS_VERSION "2016-09-30"
#endif
#ifndef COLVARS_DEBUG

View File

@ -243,11 +243,17 @@ int colvarscript::proc_colvar(int argc, char const *argv[]) {
}
if (subcmd == "getappliedforce") {
result = (cv->bias_force()).to_simple_string();
result = (cv->applied_force()).to_simple_string();
return COLVARS_OK;
}
if (subcmd == "getsystemforce") {
// TODO warning here
result = (cv->total_force()).to_simple_string();
return COLVARS_OK;
}
if (subcmd == "gettotalforce") {
result = (cv->total_force()).to_simple_string();
return COLVARS_OK;
}

View File

@ -57,6 +57,12 @@ public:
}
}
/// Return a reference to the data
inline std::vector<T> &data_array()
{
return data;
}
inline ~vector1d()
{
data.clear();
@ -203,6 +209,16 @@ public:
return std::sqrt(this->norm2());
}
inline cvm::real sum() const
{
cvm::real result = 0.0;
size_t i;
for (i = 0; i < this->size(); i++) {
result += (*this)[i];
}
return result;
}
/// Slicing
inline vector1d<T> const slice(size_t const i1, size_t const i2) const
{
@ -295,11 +311,23 @@ public:
{
std::stringstream stream(s);
size_t i = 0;
while ((stream >> (*this)[i]) && (i < this->size())) {
i++;
}
if (i < this->size()) {
return COLVARS_ERROR;
if (this->size()) {
while ((stream >> (*this)[i]) && (i < this->size())) {
i++;
}
if (i < this->size()) {
return COLVARS_ERROR;
}
} else {
T input;
while (stream >> input) {
if ((i % 100) == 0) {
data.reserve(data.size()+100);
}
data.resize(data.size()+1);
data[i] = input;
i++;
}
}
return COLVARS_OK;
}
@ -434,6 +462,12 @@ public:
this->clear();
}
/// Return a reference to the data
inline std::vector<T> &data_array()
{
return data;
}
inline row & operator [] (size_t const i)
{
return rows[i];

0
lib/kokkos/config/configure_compton_cpu.sh Normal file → Executable file
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0
lib/kokkos/config/configure_compton_mic.sh Normal file → Executable file
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0
lib/kokkos/config/configure_kokkos.sh Normal file → Executable file
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0
lib/kokkos/config/configure_kokkos_nvidia.sh Normal file → Executable file
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0
lib/kokkos/config/configure_shannon.sh Normal file → Executable file
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