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: configuring with acml | + | - For example: configuring with acml for CPU ([http://developer.amd.com/libraries/acml/pages/default.aspx acml]) and cublas for GPU (), and then make |
cd fupermod/ | cd fupermod/ |
Revision as of 11:09, 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: configuring with acml for CPU (acml) and cublas for GPU (), and then make
cd fupermod/
mkdir acml_config cd acml_config ./configure --with-cblas=acml make
mkdir cuda_config cd cuda_config ./configure --with-cblas=cuda make
- 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 (appfile_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 (appfile_mxm)
# 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