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Modular workload format: Extending SWF for modular systems
dc.contributor.author | Corbalán González, Julita |
dc.contributor.author | D'Amico, Marco |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2022-12-15T12:33:45Z |
dc.date.available | 2022-12-15T12:33:45Z |
dc.date.issued | 2021 |
dc.identifier.citation | Corbalan, J.; D'Amico, M. Modular workload format: Extending SWF for modular systems. A: Workshop on Job Scheduling Strategies for Parallel Processing. "Job Scheduling Strategies for Parallel Processing: 24th International Workshop, JSSPP 2021: virtual event, May 21, 2021: revised selected papers". Berlín: Springer, 2021, p. 43-55. ISBN 978-3-030-88224-2. DOI 10.1007/978-3-030-88224-2_3. |
dc.identifier.isbn | 978-3-030-88224-2 |
dc.identifier.uri | http://hdl.handle.net/2117/378245 |
dc.description.abstract | This paper presents the Modular Workload Format (MWF), a proposal for extending the widely accepted Standard Workload Format (SWF) for job scheduling evaluation. David Talby and Dror Feitelson proposed the SWF in 1999, allowing to describe data center workload in a synthesized way. Its simplicity, representing each job by a single line in a text file and including details to make job scheduling evaluation quite accurate, was part of its success. Using these years’ experience but considering new system and workload characteristics, we propose an extension to support multiple steps in a single job, heterogeneous jobs, and relevant inputs not covered by the SWF as energy/power references. The goal of this contribution is to adapt the SWF to current trends in architectures and workloads. Moreover, we propose a simple approach for converting any already existing SWF trace file into an MWF trace file to be able to reuse already existing traces. |
dc.description.sponsorship | This work is partially supported from the European Union’s Horizon 2020 under grant agreement No. 754304 (DEEP-EST Project) and the Spanish grant PID2019-107255GB-C21. |
dc.format.extent | 13 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Data processing service centers -- Planning |
dc.subject.other | Workload traces |
dc.subject.other | Job scheduling evaluation |
dc.title | Modular workload format: Extending SWF for modular systems |
dc.type | Conference report |
dc.subject.lemac | Centres informàtics -- Planificació |
dc.identifier.doi | 10.1007/978-3-030-88224-2_3 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-030-88224-2_3 |
dc.rights.access | Open Access |
local.identifier.drac | 34964696 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Corbalan, J.; d'Amico, M. |
local.citation.contributor | Workshop on Job Scheduling Strategies for Parallel Processing |
local.citation.pubplace | Berlín |
local.citation.publicationName | Job Scheduling Strategies for Parallel Processing: 24th International Workshop, JSSPP 2021: virtual event, May 21, 2021: revised selected papers |
local.citation.startingPage | 43 |
local.citation.endingPage | 55 |