Difference between revisions of "UTK multicores + GPU"
From HCL
Zhongziming (talk | contribs) |
Zhongziming (talk | contribs) |
||
| (38 intermediate revisions by 2 users not shown) | |||
| Line 5: | Line 5: | ||
$ nvidia-smi -L | $ nvidia-smi -L | ||
| − | == Using Fupermod on hybrid node == | + | == Using Fupermod on hybrid multicore/GPUs node == |
| − | *Compiling | + | * 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 [http://developer.amd.com/libraries/acml/pages/default.aspx acml] for CPU and [http://developer.nvidia.com/cublas cublas] for GPU | ||
| + | |||
| + | $ cd fupermod/ | ||
| + | |||
| + | $ mkdir acml_config | ||
| + | $ cd acml_config | ||
| + | $ ../configure --with-blas=acml | ||
| + | $ make | ||
| + | |||
| + | $ mkdir cuda_config | ||
| + | $ cd cuda_config | ||
| + | $ ../configure --with-blas=cuda | ||
| + | $ make | ||
| + | |||
| + | * Building performance model: | ||
| + | |||
| + | - Rankfile is for [http://www.open-mpi.org/doc/v1.6/man1/mpirun.1.php#sect8 process binding], and appfile tells mpirun 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 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_1d.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_1d.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_1d.so -D10000 -o N=100 -m machinefile | ||
| + | |||
| + | * Running matrix multiplication | ||
| + | |||
| + | $ mpirun -rf rankfile -app appfile_mxm | ||
| + | |||
| + | - 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_2d -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_2d -k640 -m machinefile | ||
Latest revision as of 22:32, 22 August 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 and cublas for GPU
$ cd fupermod/
$ mkdir acml_config $ cd acml_config $ ../configure --with-blas=acml $ make
$ mkdir cuda_config $ cd cuda_config $ ../configure --with-blas=cuda $ make
- Building performance model:
- Rankfile is for process binding, and appfile tells mpirun 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 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_1d.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_1d.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_1d.so -D10000 -o N=100 -m machinefile
- Running matrix multiplication
$ mpirun -rf rankfile -app appfile_mxm
- 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_2d -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_2d -k640 -m machinefile
