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X-WR-CALNAME:Performance Tuning of Scientific Applications on HPC Systems
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DTSTART:20070311T020000
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DTSTART;TZID=America/Chicago:20101116T171500
DESCRIPTION:ABSTRACT: The HPC landscape is undergoing significant changes and will become increasingly complex over the coming years. The assessment of the real-life performance of HPC systems through application benchmarking is thus becoming ever more important. In a collaborative effort between DEISA\, Cray and IBM\, this paper looks at the effect of in-depth performance tuning of scientific applications on current hardware. The aim is to highlight current knowledge gaps and find the focus for training and education going forward. This includes understanding both science- and user-driven requirements for default machine configurations. Our results show that\, while the default machine configurations achieve largely acceptable performance\, users can potentially see significant benefit from relatively basic tuning.
UID:post131@sc10.supercomputing.org
SUMMARY:Performance Tuning of Scientific Applications on HPC Systems
DTEND;TZID=America/Chicago:20101116T190000
LOCATION:Main Lobby
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