Ordonnancement avec tolérance aux pannes pour des tâches parallèles à nombre de processeurs programmable

Autor: Benoit, Anne, Le Fèvre, Valentin, Perotin, Lucas, Raghavan, Padma, Robert, Yves, Sun, Hongyang

Publikováno v: [Research Report] RR-9340, Inria-Research Centre Grenoble – Rhône-Alpes. 2021

We study the resilient scheduling of moldable parallel jobs on high-performance computing (HPC) platforms. Moldable jobs allow for choosing a processor allocation before execution, and their execution time obeys various speedup models. The objective

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3393::ab93c7472648ec65a4d360364a333ee1
https://inria.hal.science/hal-02614215

Design and Comparison of Resilient Scheduling Heuristics for Parallel Jobs

Autor: Anne Benoit, Yves Robert, Hongyang Sun, Valentin Le Fèvre, Padma Raghavan

Publikováno v: IPDPS Workshops
APDCM 2020-Workshop on Advances in Parallel and Distributed Computational Models (colocated with IPDPS)
APDCM 2020-Workshop on Advances in Parallel and Distributed Computational Models (colocated with IPDPS), May 2020, New Orleans, LA, United States. pp.1-27
[Research Report] RR-9296, Inria-Research Centre Grenoble – Rhône-Alpes. 2019, pp.31

This paper focuses on the resilient scheduling of parallel jobs on highperformance computing (HPC) platforms to minimize the overall completion time, or makespan. We revisit the problem by assuming that jobs are subject to transient or silent errors,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::135c9e4d5920f2f2b490cc415812950a
https://doi.org/10.1109/ipdpsw50202.2020.00099