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Frontiers of performance analysis on leadership-class systems

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Published under licence by IOP Publishing Ltd
, , Citation R Fowler et al 2009 J. Phys.: Conf. Ser. 180 012041 DOI 10.1088/1742-6596/180/1/012041

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1 Renaissance Computing Institute, UNC, Chapel Hill, North Carolina

2 Rice University, Houston, Texas

3 Lawrence Livermore National Laboratory

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1742-6596/180/1/012041

Abstract

The number of cores in high-end systems for scientific computing are employingis increasing rapidly. As a result, there is an pressing need for tools that can measure, model, and diagnose performance problems in highly-parallel runs. We describe two tools that employ complementary approaches for analysis at scale and we illustrate their use on DOE leadership-class systems.

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10.1088/1742-6596/180/1/012041