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dc.contributor | Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors |
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dc.contributor | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.contributor.author | Chasapis, Dimitrios |
dc.contributor.author | Moreto Planas, Miquel |
dc.contributor.author | Schulz, Martin |
dc.contributor.author | Rountree, Barry |
dc.contributor.author | Valero Cortés, Mateo |
dc.contributor.author | Casas, Marc |
dc.date | 2019 |
dc.identifier.citation | Chasapis, D. [et al.]. Power efficient job scheduling by predicting the impact of processor manufacturing variability. A: International Conference on Supercomputing. "ICS 2019: International Conference on Supercomputing: June 26-28, 2019, Phoenix, AZ". New York: Association for Computing Machinery (ACM), 2019, p. 296-307. |
dc.identifier.citation | 978-1-4503-6079-1 |
dc.identifier.citation | 10.1145/3330345.3330372 |
dc.identifier.uri | http://hdl.handle.net/2117/175481 |
dc.language.iso | eng |
dc.publisher | Association for Computing Machinery (ACM) |
dc.relation | https://dl.acm.org/citation.cfm?id=3330372 |
dc.relation | info:eu-repo/grantAgreement/AGAUR/2017-SGR-1328 |
dc.relation | info:eu-repo/grantAgreement/ES/1PE/TIN2015-65316-P |
dc.relation | info:eu-repo/grantAgreement/AGAUR/2017 SGR 1414 |
dc.relation | info:eu-repo/grantAgreement/AEI/RYC-2016-21104 |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles |
dc.subject | Parallel processing (Electronic computers) |
dc.subject | High performance computing |
dc.subject | Energy consumption |
dc.subject | Manufacturing variability |
dc.subject | Energy efficient |
dc.subject | Power prediction |
dc.subject | Job scheduling |
dc.subject | HPC |
dc.subject | Processament en paral·lel (Ordinadors) |
dc.subject | Càlcul intensiu (Informàtica) |
dc.subject | Energia -- Consum |
dc.title | Power efficient job scheduling by predicting the impact of processor manufacturing variability |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract |