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A Performance and Energy Analysis of I/O Management Approaches for Exascale Systems

Orcun Yildiz 1 Matthieu Dorier 2, 1 Shadi Ibrahim 1 Gabriel Antoniu 1 
1 KerData - Scalable Storage for Clouds and Beyond
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
Abstract : The advent of fast, unprecedentedly scalable, yet energy-hungry exascale supercomputers poses a major challenge consisting in sustaining a high performance per watt ratio. While much recent work has explored new approaches to I/O management, aiming to reduce the I/O performance bottle-neck exhibited by HPC applications (and hence to improve application performance), there is comparatively little work investigating the impact of I/O management approaches on energy consumption. In this work, we explore how much energy a supercom-puter consumes while running scientific simulations when adopting various I/O management approaches. We closely examine three radically different I/O schemes including time partitioning, dedicated cores, and dedicated nodes. We im-plement the three approaches within the Damaris I/O mid-dleware and perform extensive experiments with one of the target HPC applications of the Blue Waters sustained-peta-flop/s supercomputer project: the CM1 atmospheric model. Our experimental results obtained on the French Grid'5000 platform highlight the differences between these three ap-proaches and illustrate in which way various configurations of the application and of the system can impact performance and energy consumption.
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Submitted on : Wednesday, October 22, 2014 - 1:43:34 PM
Last modification on : Monday, June 27, 2022 - 3:04:27 AM
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Orcun Yildiz, Matthieu Dorier, Shadi Ibrahim, Gabriel Antoniu. A Performance and Energy Analysis of I/O Management Approaches for Exascale Systems. DIDC '14 Proceedings of the sixth international workshop on Data Intensive Distributed Computing, Jun 2014, Vancouver, Canada. pp.35-40, ⟨10.1145/2608020.2608026⟩. ⟨hal-01076522⟩



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