Difference between revisions of "Cray"
(→Cray XK6/XK7) |
(→GPU performance tracking) |
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3. OpenACC | 3. OpenACC | ||
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+ | Remember to load the cray acc module: | ||
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+ | 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: | Both PGI and Cray compilers uses the CUDA driver API to interact with the GPU, so to setup TAU to collect those calls: |
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.