MPICH-V Project: A Multiprotocol Automatic Fault-Tolerant MPI

Author:

Bouteiller A.1,Herault T.,Krawezik G.,Lemarinier P.,Cappello F.1

Affiliation:

1. INRIA/LRI, Université Paris-Sud, Orsay, France

Abstract

High performance computing platforms such as Clusters, Grid and Desktop Grids are becoming larger and subject to more frequent failures. MPI is one of the most used message passing libraries in HPC applications. These two trends raise the need for fault-tolerant MPI. The MPICH-V project focuses on designing, implementing and comparing several automatic fault-tolerant protocols for MPI applications. We present an extensive related work section highlighting the originality of our approach and the proposed protocols. We then present four fault-tolerant protocols implemented in a new generic framework for fault-tolerant protocol comparison, covering a large spectrum of known approaches from coordinated checkpoint, to uncoordinated checkpoint associated with causal message logging. We measure the performance of these protocols on a micro-benchmark and compare them with the NAS benchmark, using an original fault tolerance test. Finally, we outline the lessons learned from this in depth fault-tolerant protocol comparison of MPI applications.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Cited by 66 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Extending the Legio Resilience Framework to Handle Critical Process Failures in MPI;2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP);2024-03-20

2. An overview of the Legio fault resilience framework for MPI applications;Procedia Computer Science;2024

3. Elastic deep learning through resilient collective operations;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

4. Implementation-Oblivious Transparent Checkpoint-Restart for MPI;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

5. Exploit Approximation to Support Fault Resiliency in MPI-based Applications;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W);2023-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3