Changes from Mike Brown.
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@5277 f3b2605a-c512-4ea7-a41b-209d697bcdaa
This commit is contained in:
571
lib/gpu/pair_gpu_atom.cpp
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571
lib/gpu/pair_gpu_atom.cpp
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@ -0,0 +1,571 @@
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/* ----------------------------------------------------------------------
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LAMMPS - Large-scale Atomic/Molecular Massively Parallel Simulator
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http://lammps.sandia.gov, Sandia National Laboratories
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Steve Plimpton, sjplimp@sandia.gov
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Copyright (2003) Sandia Corporation. Under the terms of Contract
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DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains
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certain rights in this software. This software is distributed under
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the GNU General Public License.
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See the README file in the top-level LAMMPS directory.
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------------------------------------------------------------------------- */
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/* ----------------------------------------------------------------------
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Contributing authors: Mike Brown (ORNL), brownw@ornl.gov
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------------------------------------------------------------------------- */
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#include "pair_gpu_atom.h"
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#define PairGPUAtomT PairGPUAtom<numtyp,acctyp>
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#ifdef WINDLL
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#include <windows.h>
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typedef bool (*__win_sort_alloc)(const int max_atoms);
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typedef void (*__win_sort)(const int max_atoms, unsigned *cell_begin,
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int *particle_begin);
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__win_sort_alloc _win_sort_alloc;
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__win_sort _win_sort;
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#endif
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template <class numtyp, class acctyp>
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PairGPUAtomT::PairGPUAtom() : _compiled(false),_allocated(false),_eflag(false),
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_vflag(false),_inum(0),_ilist(NULL) {
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#ifndef USE_OPENCL
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sort_config.op = CUDPP_ADD;
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sort_config.datatype = CUDPP_UINT;
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sort_config.algorithm = CUDPP_SORT_RADIX;
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sort_config.options = CUDPP_OPTION_KEY_VALUE_PAIRS;
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#ifdef WINDLL
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HINSTANCE hinstLib = LoadLibrary(TEXT("gpu.dll"));
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if (hinstLib == NULL) {
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printf("\nUnable to load gpu.dll\n");
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exit(1);
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}
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_win_sort_alloc=(__win_sort_alloc)GetProcAddress(hinstLib,"_win_sort_alloc");
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_win_sort=(__win_sort)GetProcAddress(hinstLib,"_win_sort");
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#endif
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#endif
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}
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template <class numtyp, class acctyp>
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int PairGPUAtomT::bytes_per_atom() const {
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int id_space=0;
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if (_gpu_nbor)
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id_space=2;
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int bytes=4*sizeof(numtyp)+11*sizeof(acctyp)+id_space;
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if (_rot)
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bytes+=4*sizeof(numtyp)+4*sizeof(acctyp);
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if (_charge)
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bytes+=sizeof(numtyp);
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return bytes;
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}
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template <class numtyp, class acctyp>
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bool PairGPUAtomT::alloc(const int max_atoms) {
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bool success=true;
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int ans_elements=4;
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if (_rot)
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ans_elements+=4;
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// Ignore host/device transfers?
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bool cpuview=false;
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if (dev->device_type()==UCL_CPU)
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cpuview=true;
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// Allocate storage for CUDPP sort
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#ifndef USE_OPENCL
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#ifdef WINDLL
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_win_sort_alloc(max_atoms);
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#else
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if (_gpu_nbor) {
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CUDPPResult result = cudppPlan(&sort_plan, sort_config, max_atoms, 1, 0);
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if (CUDPP_SUCCESS != result)
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return false;
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}
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#endif
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#endif
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// -------------------------- Host allocations
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// Get a host write only buffer
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#ifdef GPU_CAST
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success=success && (host_x_cast.alloc(max_atoms*3,*dev,
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UCL_WRITE_OPTIMIZED)==UCL_SUCCESS);
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success=success && (host_type_cast.alloc(max_atoms,*dev,
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UCL_WRITE_OPTIMIZED)==UCL_SUCCESS);
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#else
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success=success && (host_x.alloc(max_atoms*4,*dev,
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UCL_WRITE_OPTIMIZED)==UCL_SUCCESS);
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#endif
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success=success && (host_ans.alloc(ans_elements*max_atoms,*dev)==UCL_SUCCESS);
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success=success && (host_engv.alloc(_ev_fields*max_atoms,*dev)==UCL_SUCCESS);
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// Buffer for casting only if different precisions
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if (_charge)
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success=success && (host_q.alloc(max_atoms,*dev,
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UCL_WRITE_OPTIMIZED)==UCL_SUCCESS);
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// Buffer for casting only if different precisions
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if (_rot)
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success=success && (host_quat.alloc(max_atoms*4,*dev,
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UCL_WRITE_OPTIMIZED)==UCL_SUCCESS);
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// --------------------------- Device allocations
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_gpu_bytes=0;
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if (cpuview) {
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#ifdef GPU_CAST
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assert(0==1);
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#else
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dev_x.view(host_x);
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#endif
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dev_engv.view(host_engv);
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dev_ans.view(host_ans);
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if (_rot)
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dev_quat.view(host_quat);
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if (_charge)
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dev_q.view(host_q);
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} else {
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#ifdef GPU_CAST
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success=success && (UCL_SUCCESS==dev_x.alloc(max_atoms*4,*dev));
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success=success && (UCL_SUCCESS==
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dev_x_cast.alloc(max_atoms*3,*dev,UCL_READ_ONLY));
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success=success && (UCL_SUCCESS==
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dev_type_cast.alloc(max_atoms,*dev,UCL_READ_ONLY));
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_gpu_bytes+=dev_x_cast.row_bytes()+dev_type_cast.row_bytes();
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#else
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success=success && (UCL_SUCCESS==
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dev_x.alloc(max_atoms*4,*dev,UCL_READ_ONLY));
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#endif
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success=success && (dev_engv.alloc(_ev_fields*max_atoms,*dev,
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UCL_WRITE_ONLY)==UCL_SUCCESS);
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success=success && (dev_ans.alloc(ans_elements*max_atoms,
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*dev,UCL_WRITE_ONLY)==UCL_SUCCESS);
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if (_charge) {
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success=success && (dev_q.alloc(max_atoms,*dev,
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UCL_READ_ONLY)==UCL_SUCCESS);
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_gpu_bytes+=dev_q.row_bytes();
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}
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if (_rot) {
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success=success && (dev_quat.alloc(max_atoms*4,*dev,
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UCL_READ_ONLY)==UCL_SUCCESS);
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_gpu_bytes+=dev_quat.row_bytes();
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}
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}
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if (_gpu_nbor) {
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success=success && (dev_cell_id.alloc(max_atoms,*dev)==UCL_SUCCESS);
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success=success && (dev_particle_id.alloc(max_atoms,*dev)==UCL_SUCCESS);
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_gpu_bytes+=dev_cell_id.row_bytes()+dev_particle_id.row_bytes();
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if (_bonds) {
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success=success && (dev_tag.alloc(max_atoms,*dev)==UCL_SUCCESS);
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_gpu_bytes+=dev_tag.row_bytes();
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}
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}
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_gpu_bytes+=dev_x.row_bytes()+dev_engv.row_bytes()+dev_ans.row_bytes();
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return success;
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}
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template <class numtyp, class acctyp>
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bool PairGPUAtomT::init(const int inum, const int nall, const bool charge,
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const bool rot, UCL_Device &devi, const bool gpu_nbor,
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const bool bonds) {
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clear();
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bool success=true;
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_gpu_nbor=gpu_nbor;
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_bonds=bonds;
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_charge=charge;
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_rot=rot;
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_other=_charge || _rot;
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dev=&devi;
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_e_fields=1;
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if (_charge)
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_e_fields++;
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_ev_fields=6+_e_fields;
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// Initialize atom and nbor data
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int max_local=static_cast<int>(static_cast<double>(inum)*1.10);
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if (max_local==0)
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max_local=1000;
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if (nall<=inum)
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_max_atoms=max_local*2;
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else
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_max_atoms=static_cast<int>(static_cast<double>(nall)*1.10);
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// Initialize timers for the selected device
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time_pos.init(*dev);
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time_other.init(*dev);
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time_answer.init(*dev);
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time_pos.zero();
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time_other.zero();
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time_answer.zero();
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_time_cast=0.0;
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#ifdef GPU_CAST
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compile_kernels(*dev);
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#endif
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_allocated=true;
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return success && alloc(_max_atoms);
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}
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template <class numtyp, class acctyp>
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void PairGPUAtomT::clear_resize() {
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if (!_allocated)
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return;
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_allocated=false;
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dev_x.clear();
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if (_charge) {
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dev_q.clear();
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host_q.clear();
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}
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if (_rot) {
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dev_quat.clear();
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host_quat.clear();
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}
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dev_ans.clear();
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dev_engv.clear();
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#ifndef GPU_CAST
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host_x.clear();
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#else
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host_x_cast.clear();
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host_type_cast.clear();
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#endif
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host_ans.clear();
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host_engv.clear();
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dev_cell_id.clear();
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dev_particle_id.clear();
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dev_tag.clear();
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#ifdef GPU_CAST
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dev_x_cast.clear();
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dev_type_cast.clear();
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#endif
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#ifndef USE_OPENCL
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#ifndef WINDLL
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if (_gpu_nbor) cudppDestroyPlan(sort_plan);
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#endif
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#endif
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}
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template <class numtyp, class acctyp>
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void PairGPUAtomT::clear() {
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_gpu_bytes=0;
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if (!_allocated)
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return;
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time_pos.clear();
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time_other.clear();
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time_answer.clear();
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clear_resize();
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_inum=0;
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_eflag=false;
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_vflag=false;
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#ifdef GPU_CAST
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if (_compiled) {
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k_cast_x.clear();
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delete atom_program;
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_compiled=false;
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}
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#endif
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}
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template <class numtyp, class acctyp>
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double PairGPUAtomT::host_memory_usage() const {
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int atom_bytes=4;
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if (_charge)
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atom_bytes+=1;
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if (_rot)
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atom_bytes+=4;
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int ans_bytes=atom_bytes+_ev_fields;
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return _max_atoms*atom_bytes*sizeof(numtyp)+
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ans_bytes*(_max_atoms)*sizeof(acctyp)+
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sizeof(PairGPUAtom<numtyp,acctyp>);
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}
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template <class numtyp, class acctyp>
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void PairGPUAtomT::copy_answers(const bool eflag, const bool vflag,
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const bool ef_atom, const bool vf_atom) {
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time_answer.start();
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_eflag=eflag;
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_vflag=vflag;
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_ef_atom=ef_atom;
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_vf_atom=vf_atom;
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int csize=_ev_fields;
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if (!eflag)
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csize-=_e_fields;
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if (!vflag)
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csize-=6;
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if (csize>0)
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ucl_copy(host_engv,dev_engv,_inum*csize,true);
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if (_rot)
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ucl_copy(host_ans,dev_ans,_inum*4*2,true);
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else
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ucl_copy(host_ans,dev_ans,_inum*4,true);
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time_answer.stop();
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}
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template <class numtyp, class acctyp>
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void PairGPUAtomT::copy_answers(const bool eflag, const bool vflag,
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const bool ef_atom, const bool vf_atom,
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int *ilist) {
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_ilist=ilist;
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copy_answers(eflag,vflag,ef_atom,vf_atom);
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}
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template <class numtyp, class acctyp>
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double PairGPUAtomT::energy_virial(double *eatom, double **vatom,
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double *virial) {
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if (_eflag==false && _vflag==false)
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return 0.0;
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double evdwl=0.0;
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if (_gpu_nbor) {
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for (int i=0; i<_inum; i++) {
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acctyp *ap=host_engv.begin()+i;
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if (_eflag) {
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if (_ef_atom) {
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evdwl+=*ap;
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eatom[i]+=*ap*0.5;
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ap+=_inum;
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} else {
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evdwl+=*ap;
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ap+=_inum;
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}
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}
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if (_vflag) {
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if (_vf_atom) {
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for (int j=0; j<6; j++) {
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vatom[i][j]+=*ap*0.5;
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virial[j]+=*ap;
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ap+=_inum;
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}
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} else {
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for (int j=0; j<6; j++) {
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virial[j]+=*ap;
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ap+=_inum;
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}
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}
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}
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}
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for (int j=0; j<6; j++)
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virial[j]*=0.5;
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} else {
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for (int i=0; i<_inum; i++) {
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acctyp *ap=host_engv.begin()+i;
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int ii=_ilist[i];
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if (_eflag) {
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if (_ef_atom) {
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evdwl+=*ap;
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eatom[ii]+=*ap*0.5;
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ap+=_inum;
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} else {
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evdwl+=*ap;
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ap+=_inum;
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}
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}
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if (_vflag) {
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if (_vf_atom) {
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for (int j=0; j<6; j++) {
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vatom[ii][j]+=*ap*0.5;
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virial[j]+=*ap;
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ap+=_inum;
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}
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} else {
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for (int j=0; j<6; j++) {
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virial[j]+=*ap;
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ap+=_inum;
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}
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}
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}
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}
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for (int j=0; j<6; j++)
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virial[j]*=0.5;
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}
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evdwl*=0.5;
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return evdwl;
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}
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template <class numtyp, class acctyp>
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double PairGPUAtomT::energy_virial(double *eatom, double **vatom,
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double *virial, double &ecoul) {
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if (_eflag==false && _vflag==false) {
|
||||
ecoul=0.0;
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return 0.0;
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}
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||||
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if (_charge==false)
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return energy_virial(eatom,vatom,virial);
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double evdwl=0.0;
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double _ecoul=0.0;
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if (_gpu_nbor) {
|
||||
for (int i=0; i<_inum; i++) {
|
||||
acctyp *ap=host_engv.begin()+i;
|
||||
if (_eflag) {
|
||||
if (_ef_atom) {
|
||||
evdwl+=*ap;
|
||||
eatom[i]+=*ap*0.5;
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||||
ap+=_inum;
|
||||
_ecoul+=*ap;
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||||
eatom[i]+=*ap*0.5;
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||||
ap+=_inum;
|
||||
} else {
|
||||
evdwl+=*ap;
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||||
ap+=_inum;
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||||
_ecoul+=*ap;
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||||
ap+=_inum;
|
||||
}
|
||||
}
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||||
if (_vflag) {
|
||||
if (_vf_atom) {
|
||||
for (int j=0; j<6; j++) {
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||||
vatom[i][j]+=*ap*0.5;
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||||
virial[j]+=*ap;
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ap+=_inum;
|
||||
}
|
||||
} else {
|
||||
for (int j=0; j<6; j++) {
|
||||
virial[j]+=*ap;
|
||||
ap+=_inum;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
for (int j=0; j<6; j++)
|
||||
virial[j]*=0.5;
|
||||
} else {
|
||||
for (int i=0; i<_inum; i++) {
|
||||
acctyp *ap=host_engv.begin()+i;
|
||||
int ii=_ilist[i];
|
||||
if (_eflag) {
|
||||
if (_ef_atom) {
|
||||
evdwl+=*ap;
|
||||
eatom[ii]+=*ap*0.5;
|
||||
ap+=_inum;
|
||||
_ecoul+=*ap;
|
||||
eatom[ii]+=*ap*0.5;
|
||||
ap+=_inum;
|
||||
} else {
|
||||
evdwl+=*ap;
|
||||
ap+=_inum;
|
||||
_ecoul+=*ap;
|
||||
ap+=_inum;
|
||||
}
|
||||
}
|
||||
if (_vflag) {
|
||||
if (_vf_atom) {
|
||||
for (int j=0; j<6; j++) {
|
||||
vatom[ii][j]+=*ap*0.5;
|
||||
virial[j]+=*ap;
|
||||
ap+=_inum;
|
||||
}
|
||||
} else {
|
||||
for (int j=0; j<6; j++) {
|
||||
virial[j]+=*ap;
|
||||
ap+=_inum;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
for (int j=0; j<6; j++)
|
||||
virial[j]*=0.5;
|
||||
}
|
||||
|
||||
evdwl*=0.5;
|
||||
ecoul+=_ecoul*0.5;
|
||||
return evdwl;
|
||||
}
|
||||
|
||||
template <class numtyp, class acctyp>
|
||||
void PairGPUAtomT::get_answers(double **f, double **tor) {
|
||||
acctyp *ap=host_ans.begin();
|
||||
if (_gpu_nbor) {
|
||||
for (int i=0; i<_inum; i++) {
|
||||
f[i][0]+=*ap;
|
||||
ap++;
|
||||
f[i][1]+=*ap;
|
||||
ap++;
|
||||
f[i][2]+=*ap;
|
||||
ap+=2;
|
||||
}
|
||||
if (_rot) {
|
||||
for (int i=0; i<_inum; i++) {
|
||||
tor[i][0]+=*ap;
|
||||
ap++;
|
||||
tor[i][1]+=*ap;
|
||||
ap++;
|
||||
tor[i][2]+=*ap;
|
||||
ap+=2;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
for (int i=0; i<_inum; i++) {
|
||||
int ii=_ilist[i];
|
||||
f[ii][0]+=*ap;
|
||||
ap++;
|
||||
f[ii][1]+=*ap;
|
||||
ap++;
|
||||
f[ii][2]+=*ap;
|
||||
ap+=2;
|
||||
}
|
||||
if (_rot) {
|
||||
for (int i=0; i<_inum; i++) {
|
||||
int ii=_ilist[i];
|
||||
tor[ii][0]+=*ap;
|
||||
ap++;
|
||||
tor[ii][1]+=*ap;
|
||||
ap++;
|
||||
tor[ii][2]+=*ap;
|
||||
ap+=2;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Sort arrays for neighbor list calculation
|
||||
template <class numtyp, class acctyp>
|
||||
void PairGPUAtomT::sort_neighbor(const int num_atoms) {
|
||||
#ifndef USE_OPENCL
|
||||
#ifdef WINDLL
|
||||
_win_sort(num_atoms,(unsigned *)dev_cell_id.begin(),
|
||||
(int *)dev_particle_id.begin());
|
||||
#else
|
||||
CUDPPResult result = cudppSort(sort_plan, (unsigned *)dev_cell_id.begin(),
|
||||
(int *)dev_particle_id.begin(),
|
||||
8*sizeof(unsigned), num_atoms);
|
||||
if (CUDPP_SUCCESS != result) {
|
||||
printf("Error in cudppSort\n");
|
||||
NVD_GERYON_EXIT;
|
||||
}
|
||||
#endif
|
||||
#endif
|
||||
}
|
||||
|
||||
#ifdef GPU_CAST
|
||||
#ifdef USE_OPENCL
|
||||
#include "pair_gpu_atom_cl.h"
|
||||
#else
|
||||
#include "pair_gpu_atom_ptx.h"
|
||||
#endif
|
||||
|
||||
template <class numtyp, class acctyp>
|
||||
void PairGPUAtomT::compile_kernels(UCL_Device &dev) {
|
||||
atom_program=new UCL_Program(dev);
|
||||
atom_program->load_string(pair_gpu_atom_kernel,"");
|
||||
k_cast_x.set_function(*atom_program,"kernel_cast_x");
|
||||
_compiled=true;
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
template class PairGPUAtom<PRECISION,ACC_PRECISION>;
|
||||
Reference in New Issue
Block a user