Understanding failures through the lifetime of a top-level supercomputer
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| Autores: | , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2021 |
| Descripción: | High performance computing systems are required to solve grand challenges in many scientific disciplines. These systems assemble many components to be powerful enough for solving extremely complex problems. An inherent consequence is the intricacy of the interaction of all those components, especially when failures come into the picture. It is crucial to develop an understanding of how these systems fail to design reliable supercomputing platforms in the future. This paper presents the results on studying multi-year failure and workload records of a powerful supercomputer that topped the world rankings. We provide a thorough analysis of the data and characterize the reliability of the system through several dimensions: failure classification, failure-rate modelling, and interplay between failures and workload. The results shed some light on the dynamics of top-level supercomputers and sensitive areas ripe for improvement. |
| País: | Repositorio UNA |
| Institución: | Universidad Nacional de Costa Rica |
| Repositorio: | Repositorio UNA |
| Lenguaje: | Inglés |
| OAI Identifier: | oai:https://repositorio.una.ac.cr:11056/21418 |
| Acceso en línea: | http://hdl.handle.net/11056/21418 |
| Access Level: | acceso abierto |
| Palabra clave: | FAULT TOLERANCE RESILIENCE FAILURE ANALYSIS HIGH PERFORMANCE COMPUTING |