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1Using Migratable Objects to Enhance Fault Tolerance Schemes in Supercomputers
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BibTeX
@MISC{Meneses_1usingmigratable,
author = {Esteban Meneses and Xiang Ni and Gengbin Zheng and Celso L. Mendes and Laxmikant V. Kalé},
title = {1Using Migratable Objects to Enhance Fault Tolerance Schemes in Supercomputers},
year = {}
}
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Abstract
Abstract—Supercomputers have seen an exponential increase in their size in the last two decades. Such a high growth rate is expected to take us to exascale in the timeframe 2018-2022. But, to bring a productive exascale environment about, it is necessary to focus on several key challenges. One of those challenges is fault tolerance. Machines at extreme scale will experience frequent failures and will require the system to avoid or overcome those failures. Various techniques have recently been developed to tolerate failures. The impact of these techniques and their scalability can be substantially enhanced by a parallel programming model called migratable objects. In this paper, we demonstrate how the migratable-objects model facilitates and improves several fault tolerance approaches. Our experimental results on thousands of cores suggest fault tolerance schemes based on migratable objects have low performance overhead and high scalability. Additionally, we present a performance model that predicts a significant benefit of using migratable objects to provide fault tolerance at extreme scale. Index Terms—migratable objects, fault tolerance, resilience, checkpoint/restart, message logging. F
Keyphrases
migratable object fault tolerance scheme fault tolerance extreme scale several fault tolerance approach low performance overhead significant benefit abstract supercomputer several key challenge performance model productive exascale environment frequent failure exponential increase checkpoint restart various technique high scalability migratable-objects model facilitates index term migratable object message logging high growth rate experimental result parallel programming model
