Difference between revisions of "UTK multicores + GPU"

Revision as of 10:47, 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

• • example of a rankfile:

 rank 0=ig.icl.utk.edu slot=0:0
 rank 1=ig.icl.utk.edu slot=0:1
 ...

• • example of a 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