Dear All,
I am trying to do some calculations on simple silicon with GPU support as a
test case before proceeding serious work.
QE-GPU has been installed by intel cluster suite 13, cuda 5.5 and latest svn
commits of QE and QE-GPU.
MANUAL_DFLAGS = -D__MPICH_SKIP_MPICXX -D__ISO_C_BINDING -D__VERBOSE
DFLAGS = -D__INTEL -D__FFTW3 -D__MPI -D__PARA -D__SCALAPACK
-D__ELPA -D__CUDA -D__PHIGEMM -D__OPENMP $(MANUAL_DFLAGS)
I have for 4 nodes. Each one has 24 cores and 2 GPU support so totally
96 cores + 8 GPU.
I haven't got any problem for 1 node. I did it. When I passed to bigger
than 1 node I am getting warnings, for example,
***WARNING: unbalanced configuration (1 MPI per node, 2 GPUs per node)
***WARNING: unbalanced configuration (13 MPI per node, 2 GPUs per node)
So, I am in trouble for sharing the cores between MPI and threads for
OpenMP.
Question: How should I share the cores between MPI and OpenMP threads?
Here is my case:
#SBATCH -N 4
#SBATCH -n 4
#SBATCH --gres=gpu:2
module load centos6.4/lib/cuda/5.5
export OMP_NUM_THREADS=24
export MKL_NUM_THREADS=$OMP_NUM_THREADS
export PHI_DGEMM_SPLIT=0.975
export PHI_ZGEMM_SPLIT=0.975
mpirun pw-gpu.x -nd 1 < si.in > out.GPU
Sincerely Yours,
Mutlu.
------------------------------------------Mutlu ÇOLAKOĞULLARITrakya
Universitesi Fen FakultesiFizik Bolumu22030 Merkez-EDIRNE/TURKEY
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