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@ -39,9 +39,10 @@ mpirun -np 8 ../lmp_linux_mixed -sf gpu -c off -v g 2 -v x 32 -v y 32 -v z 64 -v
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The "xyz" settings determine the problem size. The "t" setting
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determines the number of timesteps. The "np" setting determines how
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many CPUs the problem will be run on, and the "g" settings determines
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how many GPUs the problem will run on, i.e. 1 or 2 in this case. You
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can use more CPUs than GPUs with the GPU package.
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many MPI tasks per compute node the problem will run on, and the "g"
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setting determines how many GPUs per compute node the problem will run
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on, i.e. 1 or 2 in this case. Note that you can use more MPI tasks
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than GPUs (both per compute node) with the GPU package.
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------------------------------------------------------------------------
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@ -54,7 +55,7 @@ mpirun -np 2 ../lmp_linux_double -sf cuda -v g 2 -v x 32 -v y 64 -v z 64 -v t 10
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The "xyz" settings determine the problem size. The "t" setting
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determines the number of timesteps. The "np" setting determines how
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many CPUs the problem will be run on, and the "g" setting determines
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how many GPUs the problem will run on, i.e. 1 or 2 in this case. You
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should make the number of CPUs and number of GPUs equal for the
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USER-CUDA package.
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many MPI tasks per compute node the problem will run on, and the "g"
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setting determines how many GPUs per compute node the problem will run
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on, i.e. 1 or 2 in this case. For the USER-CUDA package, the number
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of MPI tasks and GPUs (both per compute node) must be equal.
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