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dc.contributor.author | Alonso, Fernando | |
dc.contributor.author | González Escribano, Arturo | |
dc.contributor.author | Torres de la Sierra, Yuri | |
dc.contributor.author | Llanos Ferraris, Diego Rafael | |
dc.contributor.editor | CMMSE 2019 | es |
dc.date.accessioned | 2019-11-05T18:38:30Z | |
dc.date.available | 2019-11-05T18:38:30Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Coarse-grain Load Distribution in Heterogeneous Computing. Fernando Alonso, Arturo González-Escribano, Yuri Torres, Diego R. Llanos. Tipo de Participación: poster. 19th International Computational and Mathematical Methods in Science and Engineering 2019 – CMMSE 2019, Costa Ballena (Rota), Cádiz (España). Fecha: 1-5 julio 2019. | es |
dc.identifier.uri | http://uvadoc.uva.es/handle/10324/39043 | |
dc.description.abstract | HPC heterogeneous clusters are composed by different type of machines (various types of component manufacturers, varying computational capacities), and different hardware accelerators. TThe most common type of data distributions is the equal division of the data across all the nodes. A more sophisticated policy of data distribution is needed to explode the computational capacity of the entire system. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | spa | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.title | Coarse-grain Load Distribution in Heterogeneous Computing | es |
dc.type | info:eu-repo/semantics/other | es |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |