To access the full text documents, please follow this link: http://hdl.handle.net/2117/166839
dc.contributor | Barcelona Supercomputing Center |
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dc.contributor.author | Cristal, Adrian |
dc.contributor.author | Unsal, Osman S. |
dc.contributor.author | Martorell, Xavier |
dc.contributor.author | Carpenter, Paul |
dc.contributor.author | de la Cruz, Raul |
dc.contributor.author | Bautista, Leonardo |
dc.contributor.author | Jimenez, Daniel |
dc.contributor.author | Alvarez, Carlos |
dc.contributor.author | Salami, Behzad |
dc.contributor.author | Madonar, Sergi |
dc.contributor.author | Pericàs, Miquel |
dc.contributor.author | Trancoso, Pedro |
dc.contributor.author | vor dem Berge, Micha |
dc.contributor.author | Billung-Meyer, Gunnar |
dc.contributor.author | Krupop, Stefan |
dc.contributor.author | Christmann, Wolfgang |
dc.contributor.author | Klawonn, Frank |
dc.contributor.author | Mihklafi, Amani |
dc.contributor.author | Becker, Tobias |
dc.contributor.author | Gaydadjiev, Georgi |
dc.contributor.author | Salomonsson, Hans |
dc.contributor.author | Dubhashi, Devdatt |
dc.contributor.author | Port, Oron |
dc.contributor.author | Hadar, Elad |
dc.contributor.author | Etsion, Yoav |
dc.contributor.author | Fetzer, Christof |
dc.contributor.author | Hagemeyer, Jens |
dc.contributor.author | Jungeblut, Thorsten |
dc.contributor.author | Kucza, Nils |
dc.contributor.author | Kaiser, Martin |
dc.contributor.author | Porrmann, Mario |
dc.contributor.author | Pasin, Marcelo |
dc.contributor.author | Schiavoni, Valerio |
dc.contributor.author | Rocha, Isabelly |
dc.contributor.author | Göttel, Christian |
dc.contributor.author | Felber, Pascal |
dc.date | 2018-07-15 |
dc.identifier.citation | Cristal, A. [et al.]. LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing. A: "SAMOS '18 Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation". ACM, 2018, p. 210-217. |
dc.identifier.citation | 978-1-4503-6494-2 |
dc.identifier.citation | 10.1145/3229631.3239370 |
dc.identifier.uri | http://hdl.handle.net/2117/166839 |
dc.language.iso | eng |
dc.publisher | ACM |
dc.relation | https://dl.acm.org/citation.cfm?id=3239370 |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/780681/EU/Low Energy Toolset for Heterogeneous Computing/LEGaTO |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject | High performance computing |
dc.subject | LEGaTO project |
dc.subject | Supercomputadors |
dc.title | LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract | |
dc.description.abstract |