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Performance Evaluation of Core Numerical Algorithms: A Tool to Measure Instruction Level Parallelism
Acte de colloque   Open Access

Performance Evaluation of Core Numerical Algorithms: A Tool to Measure Instruction Level Parallelism

Bernard Goossens, Philippe Langlois, David Parello et Eric Petit
Para: State of the Art in Scientific and Parallel Computing (Reykjavík, Iceland, 06/06/2010–09/06/2010)
04/05/2010

Résumé

We measure and analyze the instruction level parallelism that condition the running-time performance of core numerical subroutines. We propose PerPI, a programmer oriented tool to fill the gap between high level algorithm analysis and machine dependent profiling tools and which provides reproducible results.

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