Mark Krentel

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HPCTOOLKIT is an integrated suite of tools that supports measurement, analysis, attribution, and presentation of application performance for both sequential and parallel programs. HPCTOOLKIT can pinpoint and quantify scalability bottlenecks in fully-optimized parallel programs with a measurement overhead of only a few percent. Recently, new capabilities(More)
Cutting-edge science and engineering applications require petascale computing. It is, however, a significant challenge to use petascale computing platforms effectively. Consequently, there is a critical need for performance tools that enable scientists to understand impediments to performance on emerging petascale systems. In this paper, we describe(More)
Today’s largest supercomputers consist of tens of thousands of nodes equipped with one or more multi-core microprocessors. A challenge for performance tools is that bottlenecks in programs executing on these systems may arise from a myriad of causes. To address this problem, Rice University is developing HPCTOOLKIT an integrated suite of tools that supports(More)
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