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Towards resilient EU HPC systems: a blueprint

Author:

Petar RadojkovicAuthors Info & Claims

CF '19: Proceedings of the 16th ACM International Conference on Computing Frontiers

Page 339

https://doi.org/10.1145/3310273.3323434

Published: 30 April 2019 Publication History

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Abstract

In high-performance computing (HPC) a single tightly-coupled job may execute for days on thousands of servers. Since a server failure typically leads to cascading effects on the whole job, requiring redundancy and/or aggressive checkpointing to prevent the whole job from failing. This has an adverse impact on the system performance and resource usage; which limits the ability to scale to larger systems. System resiliency is therefore one of the most important Exascale requirements and challenges.

Cited By

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Fornaciari WReghenzani FTerraneo FBaroffio DMetra COmana MCondia JReorda MBirke RColonnelli IMittone GAldinucci MMencagli GIannone FPalombi FZummo GCesarini DTesser F(2023)RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data ClustersEmbedded Computer Systems: Architectures, Modeling, and Simulation10.1007/978-3-031-46077-7_26(395-410)Online publication date: 7-Nov-2023
https://doi.org/10.1007/978-3-031-46077-7_26
Jia JLiu YZhang GGao YQian D(2022)Software approaches for resilience of high performance computing systems: a surveyFrontiers of Computer Science10.1007/s11704-022-2096-317:4Online publication date: 12-Dec-2022
https://doi.org/10.1007/s11704-022-2096-3
Agullo EAltenbernd MAnzt HBautista-Gomez LBenacchio TBonaventura LBungartz HChatterjee SCiorba FDeBardeleben NDrzisga DEibl SEngelmann CGansterer WGiraud LGöddeke DHeisig MJézéquel FKohl NLi XLion RMehl MMycek PObersteiner MQuintana-Ortí ERizzi FRüde USchulz MFung FSpeck RStals LTeranishi KThibault SThönnes DWagner AWohlmuth B(2021)Resiliency in numerical algorithm design for extreme scale simulationsThe International Journal of High Performance Computing Applications10.1177/10943420211055188(109434202110551)Online publication date: 10-Dec-2021
https://doi.org/10.1177/10943420211055188

Towards resilient EU HPC systems: a blueprint
1. Computer systems organization

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Information & Contributors

Information

Published In

CF '19: Proceedings of the 16th ACM International Conference on Computing Frontiers

April 2019

414 pages

ISBN:9781450366854

DOI:10.1145/3310273

General Chairs:
Francesca Palumbo
Universit`a degli Studi di Sassari, IT
,
Michela Becchi
North Carolina State University
,
Program Chairs:
Martin Schulz
Technical University of Munich, DE
,
Kento Sato
RIKEN R-CCS, JP

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 April 2019

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Invited-talk

Funding Sources

European Union?s Horizon 2020 research and innovation programme

Conference

CF '19

Sponsor:

SIGMICRO

CF '19: Computing Frontiers Conference

April 30 - May 2, 2019

Alghero, Italy

Acceptance Rates

Overall Acceptance Rate 273 of 785 submissions, 35%

Upcoming Conference

CF '25

Sponsor:
sigmicro

22nd ACM International Conference on Computing Frontiers

May 28 - 30, 2025

Cagliari , Italy

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Fornaciari WReghenzani FTerraneo FBaroffio DMetra COmana MCondia JReorda MBirke RColonnelli IMittone GAldinucci MMencagli GIannone FPalombi FZummo GCesarini DTesser F(2023)RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data ClustersEmbedded Computer Systems: Architectures, Modeling, and Simulation10.1007/978-3-031-46077-7_26(395-410)Online publication date: 7-Nov-2023
https://doi.org/10.1007/978-3-031-46077-7_26
Jia JLiu YZhang GGao YQian D(2022)Software approaches for resilience of high performance computing systems: a surveyFrontiers of Computer Science10.1007/s11704-022-2096-317:4Online publication date: 12-Dec-2022
https://doi.org/10.1007/s11704-022-2096-3
Agullo EAltenbernd MAnzt HBautista-Gomez LBenacchio TBonaventura LBungartz HChatterjee SCiorba FDeBardeleben NDrzisga DEibl SEngelmann CGansterer WGiraud LGöddeke DHeisig MJézéquel FKohl NLi XLion RMehl MMycek PObersteiner MQuintana-Ortí ERizzi FRüde USchulz MFung FSpeck RStals LTeranishi KThibault SThönnes DWagner AWohlmuth B(2021)Resiliency in numerical algorithm design for extreme scale simulationsThe International Journal of High Performance Computing Applications10.1177/10943420211055188(109434202110551)Online publication date: 10-Dec-2021
https://doi.org/10.1177/10943420211055188

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