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 blas for CPU and cublas for GPU, and then make
+
- 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