Difference between revisions of "Cray"
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This document describes how to configure TAU and PDT on Cray XT3/RedStorm or Cray CNL. Choose the subsection that applies to you. Both cases assumes that the backend nodes are running Catamount OS. | This document describes how to configure TAU and PDT on Cray XT3/RedStorm or Cray CNL. Choose the subsection that applies to you. Both cases assumes that the backend nodes are running Catamount OS. | ||
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./configure -fortran=pathscale -c++=CC -cc=pathcc -arch=craycnl -pdt=/spin/proj/perc/TOOLS/pdt/pdtoolkit-3.12 -pdt_c++=g++ -mpi | ./configure -fortran=pathscale -c++=CC -cc=pathcc -arch=craycnl -pdt=/spin/proj/perc/TOOLS/pdt/pdtoolkit-3.12 -pdt_c++=g++ -mpi | ||
</pre> | </pre> | ||
| + | --> | ||
| + | == Cray XK6/XK7 == | ||
| + | |||
| + | === GPU performance tracking === | ||
| + | |||
| + | 1. Configuring TAU: | ||
| + | module load cudatoolkit | ||
| + | ./configure -arch=craycnl -cuda="$CRAY_CUDATOOLKIT_DIR" -cudalibrary="$CRAY_CUDATOOLKIT_POST_LINK_OPTS" -bfd=download | ||
| + | |||
| + | Setup your environment: | ||
| + | |||
| + | export PATH=<path to tau2>/craycnl/bin:$PATH | ||
| + | export LD_LIBRARY_PATH=<path to tau2>/craycnl/lib:$LD_LIBRARY_PATH | ||
| + | |||
| + | 2. CUDA | ||
| + | |||
| + | Build as normally would, and modify your run command to be: | ||
| + | |||
| + | aprun -N 1 tau_exec -T serial,cupti -cupti ./matmult | ||
| + | |||
| + | 3. OpenACC | ||
| + | |||
| + | Remember to load the cray acc module: | ||
| + | |||
| + | module load craype-accel-nvidia20 | ||
| + | |||
| + | Both PGI and Cray compilers uses the CUDA driver API to interact with the GPU, so to setup TAU to collect those calls: | ||
| + | |||
| + | export TAU_CUPTI_API=driver | ||
| + | |||
| + | Compile as normally would and run with tau_exec: | ||
| + | |||
| + | aprun -N 1 tau_exec -T serial,cupti -cupti ./matmult | ||
| + | |||
| + | 4. Viewing profiles | ||
| + | |||
| + | TAU profile are written to disk as '''profile.*''' (you may have several files.) You can view TAU profiles either through '''pprof''' (text-basied) or '''paraprof''' (GUI). | ||
| + | |||
| + | 5. Tracing | ||
| + | |||
| + | Traces can be capture by setting: | ||
| + | |||
| + | export TAU_TRACE=1 | ||
| + | |||
| + | before running your application. The traces need to be post-processed as well, issue these commands: | ||
| + | |||
| + | aprun -N 1 tau_exec -T serial,cupti -cupti ./matmult | ||
| + | tau_multimerge | ||
| + | tau2slog2 tau.trc tau.edf -o matmult.slog2 | ||
| + | jumpshot matmult.slog2 | ||
| + | |||
| + | Jumpshot is a common Trace visualizer bundled with TAU. | ||
Latest revision as of 18:21, 25 October 2012
Cray XK6/XK7
GPU performance tracking
1. Configuring TAU:
module load cudatoolkit ./configure -arch=craycnl -cuda="$CRAY_CUDATOOLKIT_DIR" -cudalibrary="$CRAY_CUDATOOLKIT_POST_LINK_OPTS" -bfd=download
Setup your environment:
export PATH=<path to tau2>/craycnl/bin:$PATH export LD_LIBRARY_PATH=<path to tau2>/craycnl/lib:$LD_LIBRARY_PATH
2. CUDA
Build as normally would, and modify your run command to be:
aprun -N 1 tau_exec -T serial,cupti -cupti ./matmult
3. OpenACC
Remember to load the cray acc module:
module load craype-accel-nvidia20
Both PGI and Cray compilers uses the CUDA driver API to interact with the GPU, so to setup TAU to collect those calls:
export TAU_CUPTI_API=driver
Compile as normally would and run with tau_exec:
aprun -N 1 tau_exec -T serial,cupti -cupti ./matmult
4. Viewing profiles
TAU profile are written to disk as profile.* (you may have several files.) You can view TAU profiles either through pprof (text-basied) or paraprof (GUI).
5. Tracing
Traces can be capture by setting:
export TAU_TRACE=1
before running your application. The traces need to be post-processed as well, issue these commands:
aprun -N 1 tau_exec -T serial,cupti -cupti ./matmult tau_multimerge tau2slog2 tau.trc tau.edf -o matmult.slog2 jumpshot matmult.slog2
Jumpshot is a common Trace visualizer bundled with TAU.
