Difference between revisions of "UTK multicores + GPU"
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* Compiling : Create two separate directories for configuration with selected CPU cblas (e.g. gsl, acml, mkl)and GPU cblas (e.g. cublas). | * Compiling : Create two separate directories for configuration with selected CPU cblas (e.g. gsl, acml, mkl)and GPU cblas (e.g. cublas). | ||
| − | + | For example: Using acml blas for CPU and cublas for GPU computing | |
cd fupermod/ | cd fupermod/ | ||
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* Building performance model: | * Building performance model: | ||
| − | + | rankfile is for processing binding, and appfile tells mpi what programs to launch | |
$ mpirun -rf rankfile -app appfile_fpm | $ mpirun -rf rankfile -app appfile_fpm | ||
| − | + | An example of a rankfile: | |
rank 0=ig.icl.utk.edu slot=0:0 | rank 0=ig.icl.utk.edu slot=0:0 | ||
rank 1=ig.icl.utk.edu slot=0:1 | rank 1=ig.icl.utk.edu slot=0:1 | ||
... | ... | ||
| − | + | An example of an appfile for building functional permanence model (FPM): | |
# GPU | # GPU | ||
# e.g. Linking against cublas, and fupermod is configured under cublas_config | # e.g. Linking against cublas, and fupermod is configured under cublas_config | ||
| Line 41: | Line 41: | ||
* Data partitioning | * Data partitioning | ||
| − | + | matrix size D = N x N, and machinefile lists the nodes participating in the computing | |
$ fupermod/tools/partitioner -l fupermod/routines/mxm/.libs/libmxm_col.so -D10000 -o N=100 -m machinefile | $ fupermod/tools/partitioner -l fupermod/routines/mxm/.libs/libmxm_col.so -D10000 -o N=100 -m machinefile | ||
| Line 49: | Line 49: | ||
$ mpirun -rf rankfile -app appfile_mxm | $ mpirun -rf rankfile -app appfile_mxm | ||
| − | + | An example of an appfile for matrix multiplication | |
# GPU | # GPU | ||
# Assuming fupermod is configured under cublas_config, linking against cublas | # Assuming fupermod is configured under cublas_config, linking against cublas | ||
Revision as of 10:58, 12 July 2012
List of machines
http://icl.cs.utk.edu/iclhelp/custom/index.html?lid=97&slid=180
Display a list of available GPUs
$ nvidia-smi -L
Using Fupermod on hybrid multicore/GPUs node
- Compiling : Create two separate directories for configuration with selected CPU cblas (e.g. gsl, acml, mkl)and GPU cblas (e.g. cublas).
For example: Using acml blas for CPU and cublas for GPU computing
cd fupermod/
mkdir acml_config cd acml_config ./configure --with-cblas=acml
mkdir cuda_config cd cuda_config ./configure --with-cblas=cuda
- Building performance model:
rankfile is for processing binding, and appfile tells mpi what programs to launch $ mpirun -rf rankfile -app appfile_fpm
An example of a rankfile: rank 0=ig.icl.utk.edu slot=0:0 rank 1=ig.icl.utk.edu slot=0:1 ...
An example of an appfile for building functional permanence model (FPM): # GPU # e.g. Linking against cublas, and fupermod is configured under cublas_config # suboption g=0 means device 0 is selected for computing -host localhost -np 1 $HOME/fupermod/cublas_config/tools/builder -l $HOME/fupermod/cublas_config/routines/mxm/.libs/libmxm_col.so -o k=640,g=0 -U10000 -s10 # CPU # e.g. Linking against acml, and fupermod is configured under acml_config -host localhost -np 47 $HOME/fupermod/acml_config/tools/builder -l $HOME/fupermod/acml_config/routines/mxm/.libs/libmxm_col.so -o k=640 -U10000 -s10
- Data partitioning
matrix size D = N x N, and machinefile lists the nodes participating in the computing $ fupermod/tools/partitioner -l fupermod/routines/mxm/.libs/libmxm_col.so -D10000 -o N=100 -m machinefile
- Running matrix multiplication
$ mpirun -rf rankfile -app appfile_mxm
An example of an appfile for matrix multiplication # GPU # Assuming fupermod is configured under cublas_config, linking against cublas # -g0 means device 0 is selected for computing -host localhost -np 1 $HOME/fupermod/cublas_config/routines/mxm/mxm_col -k640 -g0 -m machinefile # CPU # Assuming fupermod is configured under acml_config, linking against acml -host localhost -np 47 $HOME/fupermod/acml_config/routines/mxm/mxm_col -k640 -m machinefile
