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research-article

Design and modeling of a non-blocking checkpointing system

Authors:

Naoya Maruyama,

Kathryn Mohror,

Bronis R. de Supinski,

Satoshi MatsuokaAuthors Info & Claims

SC '12: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis

Article No.: 19, Pages 1 - 10

Published: 10 November 2012 Publication History

Abstract

As the capability and component count of systems increase, the MTBF decreases. Typically, applications tolerate failures with checkpoint/restart to a parallel file system (PFS). While simple, this approach can suffer from contention for PFS resources. Multi-level checkpointing is a promising solution. However, while multi-level checkpointing is successful on today's machines, it is not expected to be sufficient for exascale class machines, which are predicted to have orders of magnitude larger memory sizes and failure rates. Our solution combines the benefits of non-blocking and multi-level checkpointing. In this paper, we present the design of our system and model its performance. Our experiments show that our system can improve efficiency by 1.1 to 2.0x on future machines. Additionally, applications using our checkpointing system can achieve high efficiency even when using a PFS with lower bandwidth.

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Cited By

Boixaderas IMoré SBartolome JVicente DRadojković PCarpenter PAyguadé EMencagli GDazzi PLowenthal DBadia R(2024)Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the FieldProceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing10.1145/3625549.3658686(240-252)Online publication date: 3-Jun-2024
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Design and modeling of a non-blocking checkpointing system

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Information & Contributors

Information

Published In

cover image ACM Conferences

SC '12: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis

November 2012

1161 pages

ISBN:9781467308045

General Chair:
Jeffrey K. Hollingsworth
University of Maryland

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 10 November 2012

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SC '12

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SIGHPC
SIGARCH
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SC '12: International Conference for High Performance Computing, Networking, Storage and Analysis

November 10 - 16, 2012

Utah, Salt Lake City

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SC '12 Paper Acceptance Rate 100 of 461 submissions, 22%;

Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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Cited By

Boixaderas IMoré SBartolome JVicente DRadojković PCarpenter PAyguadé EMencagli GDazzi PLowenthal DBadia R(2024)Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the FieldProceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing10.1145/3625549.3658686(240-252)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3625549.3658686
Wang JHe XHori AYoshinaga KHerault TBouteiller ABosilca GIshikawa Y(2020)Overhead of using spare nodesInternational Journal of High Performance Computing Applications10.1177/109434202090188534:2(208-226)Online publication date: 1-Mar-2020
https://dl.acm.org/doi/10.1177/1094342020901885
Behera SWan LMueller FWolf MKlasky SParashar MVlassov VIrwin DMohror K(2020)Orchestrating Fault Prediction with Live Migration and CheckpointingProceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing10.1145/3369583.3392672(167-171)Online publication date: 23-Jun-2020
https://dl.acm.org/doi/10.1145/3369583.3392672
Grove DHamouda SHerta BIyengar AKawachiya KMilthorpe JSaraswat VShinnar ATakeuchi MTardieu O(2019)Failure Recovery in Resilient X10ACM Transactions on Programming Languages and Systems10.1145/333237241:3(1-30)Online publication date: 2-Jul-2019
https://dl.acm.org/doi/10.1145/3332372
Lee KSullivan MHari STsai TKeckler SErez MEigenmann RDing CMcKee S(2019)GPU snapshotProceedings of the ACM International Conference on Supercomputing10.1145/3330345.3330361(171-183)Online publication date: 26-Jun-2019
https://dl.acm.org/doi/10.1145/3330345.3330361
Cantwell CNielsen A(2019)A Minimally Intrusive Low-Memory Approach to Resilience for Existing Transient SolversJournal of Scientific Computing10.1007/s10915-018-0778-778:1(565-581)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1007/s10915-018-0778-7
Shahzad FKreutzer MZeiser TMachado RPieper AHager GWellein G(2018)Building and utilizing fault tolerance support tools for the GASPI applicationsInternational Journal of High Performance Computing Applications10.1177/109434201667708532:5(613-626)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.1177/1094342016677085
Liu JAgrawal G(2017)Supporting Fault-Tolerance in Presence of In-Situ AnalyticsProceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing10.5555/3101112.3101155(304-313)Online publication date: 14-May-2017
https://dl.acm.org/doi/10.5555/3101112.3101155
Poke MHoefler TGlass CHuang HWeissman JIamnitchi AIosup A(2017)AllConcurProceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing10.1145/3078597.3078598(205-218)Online publication date: 26-Jun-2017
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Dubey AFujita HGraves DChien ATiwari DWest J(2016)Granularity and the cost of error recovery in resilient AMR scientific applicationsProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.5555/3014904.3014961(1-10)Online publication date: 13-Nov-2016
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