R9010/cuda/bkec994747e513master
R9010/cuda/bk
ec994747e513master
bk
bk
README.md
README.md
PHPC - CONJUGATE GRADIENT PROJECT
HOWTO COMPILE AND RUN
Requirements :
- a recent compiler (like gcc or intel)
- a BLAS library (like openblas or intel MKL)
compile on SCITAS clusters :
$ module load gcc openblas $ git clone ssh://git@c4science.ch/source/CG-PHPC.git $ make
run on a SCITAS cluster interactively (reservation name is indicative) :
$ salloc -N 1 -n 1 --reservation=phpc-reservation $ srun ./conjugategradient lap2D_5pt_n100.mtx
You should see this output (timing is indicative) :
$ srun ./conjugategradient lap2D_5pt_n100.mtx size of matrix = 10000 x 10000 Call cgsolver() on matrix size (10000 x 10000) [STEP 488] residual = 1.103472E-10 Time for CG = 36.269389 [s]
The given example is a 5-points stencil for the 2D Laplace problem. The matrix is in sparse format.
The matrix format is Matrix Market format (.mtx extension). You can use other matrices there or create your own.
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