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dc.date.accessioned | 2022-08-18T13:31:34Z | |
dc.date.available | 2022-08-18T13:31:34Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/140642 | |
dc.description.abstract | Inquiring about different ways to reduce energy consumption during the execution of large-scale applications is essential to maintain and increase the enormous computing power achieved in HPC systems. Fault tolerance methods can have an impact on power consumption. In particular, rollback-recovery methods using uncoordinated checkpoints prevent all processes from re-executing in the event of a failure. In this context, it is possible to take actions on the nodes of the processes that do not re-execute to reduce energy consumption. In this work, we describe some issues to consider when we extend the application of energy-saving strategies beyond the nodes that communicate directly with the failed one. | en |
dc.format.extent | 17-22 | es |
dc.language | en | es |
dc.subject | Energy consumption | es |
dc.subject | Fault tolerance | es |
dc.subject | Uncoordinated checkpoints | es |
dc.subject | HPC | es |
dc.title | Some Issues to Consider in the Management of Energy Consumption in HPC Systems with Fault Tolerance | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.isbn | 978-950-34-2126-0 | es |
sedici.creator.person | Morán, Marina | es |
sedici.creator.person | Balladini, Javier | es |
sedici.creator.person | Rexachs del Rosario, Dolores | es |
sedici.creator.person | Rucci, Enzo | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Instituto de Investigación en Informática | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
sedici.date.exposure | 2022-07 | |
sedici.relation.event | X Jornadas de Cloud Computing, Big Data & Emerging Topics (La Plata, 2022) | es |
sedici.description.peerReview | peer-review | es |
sedici.relation.isRelatedWith | http://sedici.unlp.edu.ar/handle/10915/139373 | es |
sedici.relation.bookTitle | Short papers of the 10th Conference on Cloud Computing, Big Data & Emerging Topics | es |