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git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@12486 f3b2605a-c512-4ea7-a41b-209d697bcdaa

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sjplimp
2014-09-11 16:03:27 +00:00
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bench/FERMI/README
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@ -25,7 +25,7 @@ To run on just CPUs (without using the GPU or USER-CUDA styles),
do something like the following:
mpirun -np 1 lmp_linux_double -v x 8 -v y 8 -v z 8 -v t 100 < in.lj
mpirun -np 12 lmp_linux_double -v x 16 -v y 16 -v z 16 -v t 100 < in.lj
mpirun -np 12 lmp_linux_double -v x 16 -v y 16 -v z 16 -v t 100 < in.eam
The "xyz" settings determine the problem size. The "t" setting
determines the number of timesteps.
@ -37,40 +37,37 @@ nodes, scale up the "-np" setting.
To run with the GPU package, do something like the following:
mpirun -np 12 lmp_linux_single -sf gpu -pk gpu 1 -v x 32 -v y 32 -v z 64 -v t 100 < in.lj
mpirun -np 8 lmp_linux_mixed -sf gpu -pk gpu 2 -v x 32 -v y 32 -v z 64 -v t 100 < in.lj
mpirun -np 12 lmp_linux_single -sf gpu -v x 32 -v y 32 -v z 64 -v t 100 < in.lj
mpirun -np 8 lmp_linux_mixed -sf gpu -pk gpu 2 -v x 32 -v y 32 -v z 64 -v t 100 < in.eam
The "xyz" settings determine the problem size. The "t" setting
determines the number of timesteps. The "np" setting determines how
many MPI tasks (per node) the problem will run on, The numeric
argument to the "-pk" setting is the number of GPUs (per node). Note
that you can use more MPI tasks than GPUs (per node) with the GPU
package.
many MPI tasks (per node) the problem will run on. The numeric
argument to the "-pk" setting is the number of GPUs (per node); 1 GPU
is the default. Note that you can use more MPI tasks than GPUs (per
node) with the GPU package.
These mpirun commands run on a single node. To run on multiple
nodes, scale up the "-np" setting, and control the number of
MPI tasks per node via a "-ppn" setting.
These mpirun commands run on a single node. To run on multiple nodes,
scale up the "-np" setting, and control the number of MPI tasks per
node via a "-ppn" setting.
------------------------------------------------------------------------
To run with the USER-CUDA package, do something like the following:
If the script has "cuda" in its name, it is meant to be run using
the USER-CUDA package. For example:
mpirun -np 1 ../lmp_linux_single -c on -sf cuda -v g 1 -v x 16 -v y 16 -v z 16 -v t 100 < in.lj.cuda
mpirun -np 2 ../lmp_linux_double -c on -sf cuda -v g 2 -v x 32 -v y 64 -v z 64 -v t 100 < in.eam.cuda
mpirun -np 1 lmp_linux_single -c on -sf cuda -v x 16 -v y 16 -v z 16 -v t 100 < in.lj
mpirun -np 2 lmp_linux_double -c on -sf cuda -pk cuda 2 -v x 32 -v y 64 -v z 64 -v t 100 < in.eam
The "xyz" settings determine the problem size. The "t" setting
determines the number of timesteps. The "np" setting determines how
many MPI tasks per compute node the problem will run on, and the "g"
setting determines how many GPUs per compute node the problem will run
on, i.e. 1 or 2 in this case. For the USER-CUDA package, the number
of MPI tasks and GPUs (both per compute node) must be equal.
many MPI tasks (per node) the problem will run on. The numeric
argument to the "-pk" setting is the number of GPUs (per node); 1 GPU
is the default. Note that the number of MPI tasks must equal the
number of GPUs (both per node) with the USER-CUDA package.
These mpirun commands run on a single node. To run on multiple
nodes, scale up the "-np" setting.
These mpirun commands run on a single node. To run on multiple nodes,
scale up the "-np" setting, and control the number of MPI tasks per
node via a "-ppn" setting.
------------------------------------------------------------------------