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An Experimental Environment for the Evaluation of Exascale HPC Runtimes

Abstract : The era of Exascale computing raises new challenges for HPC. Intrinsic characteristics of those extreme scale platforms bring energy and reliability issues. To cope with those constraints, applications will have to be more flexible in order to deal with platform geometry evolutions and unavoidable failures. Thus, to prepare for this upcoming era, a strong effort must be made on improving the HPC software stack. This work focuses on improving the study of a central part of the software stack, the HPC runtimes. To this end we propose a tool that aims at evaluating such runtimes, at scale, to enable the discovery of performance gaps, understand future bottlenecks, and evaluate fault tolerance and load balancing mechanisms. Extensive experimentation showing the benefits of our approach has been performed with two HPC runtimes: Charm++ and OpenMPI.
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https://hal.inria.fr/hal-00949762
Contributor : Lucas Nussbaum <>
Submitted on : Thursday, February 20, 2014 - 10:56:05 AM
Last modification on : Tuesday, December 18, 2018 - 4:26:02 PM
Long-term archiving on: : Tuesday, May 20, 2014 - 2:50:41 PM

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  • HAL Id : hal-00949762, version 1

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Joseph Emeras, Emmanuel Jeanvoine, Lucas Nussbaum. An Experimental Environment for the Evaluation of Exascale HPC Runtimes. [Research Report] RR-8482, INRIA. 2014. ⟨hal-00949762v1⟩

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