Legio: fault resiliency for embarrassingly parallel MPI applications

Author:

Rocco RobertoORCID,Gadioli Davide,Palermo Gianluca

Abstract

AbstractDue to the increasing size of HPC machines, dealing with faults is becoming mandatory due to their high frequency. Natively, MPI cannot handle faults and it stops the execution prematurely when it finds one. With the introduction of ULFM, it is possible to continue the execution, but it requires complex integration with the application. In this paper we propose Legio, a framework that introduces fault resiliency in embarrassingly parallel MPI applications. Legio exposes its features to the application transparently, removing any integration difficulty. After a fault, the execution continues only with the non-failed processes. We also propose a hierarchical alternative, which features lower repair costs on large communicators. We evaluated our solutions on the Marconi100 cluster at CINECA with benchmarks and real-world applications, showing that the overhead introduced by the library is negligible and it does not limit the scalability properties of MPI.

Funder

Politecnico di Milano

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Cited by 8 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. JASS: A Tunable Checkpointing System for NVM-Based Systems;2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC);2023-12-18

3. 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

4. The Legio Fault Resilience Framework;Proceedings of the 20th ACM International Conference on Computing Frontiers;2023-05-09

5. Fault Awareness in the MPI 4.0 Session Model;Proceedings of the 20th ACM International Conference on Computing Frontiers;2023-05-09

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