| dc.contributor.author | Cámara Moreno, Jesús | |
| dc.contributor.author | Cuenca, Javier | |
| dc.contributor.author | Giménez, Domingo | |
| dc.date.accessioned | 2025-01-27T17:38:56Z | |
| dc.date.available | 2025-01-27T17:38:56Z | |
| dc.date.issued | 2020 | |
| dc.identifier.citation | The Journal of Supercomputing, 2020, Volume 76, Issue 12, Pages 9922-9941 | es |
| dc.identifier.issn | 0920-8542 | es |
| dc.identifier.uri | https://uvadoc.uva.es/handle/10324/74455 | |
| dc.description | Producción Científica | es |
| dc.description.abstract | A hierarchical approach for autotuning linear algebra routines on heterogeneous platforms is presented. Hierarchy helps to alleviate the difficulties of tuning parallel routines for high-performance computing systems. This paper analyzes the application of the hierarchical approach at both the hardware and software levels, using the basic matrix multiplication and the Strassen multiplication as proof of concept
on multicore+coprocessor nodes. In this way, the hierarchical approach allows partial delegation of the efficient exploitation of the computing units in the node to the underlying direct autotuned matrix multiplication used in the base case. | es |
| dc.format.mimetype | application/pdf | es |
| dc.language.iso | eng | es |
| dc.publisher | Springer | es |
| dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es |
| dc.subject | Computación Heterogénea | es |
| dc.subject | Computación Paralela | es |
| dc.subject | Auto-Tuning | es |
| dc.subject.classification | Autotuning | es |
| dc.subject.classification | Hybrid Programming | es |
| dc.subject.classification | Heterogeneous Computing | es |
| dc.title | Integrating software and hardware hierarchies in an autotuning method for parallel routines in heterogeneous clusters | es |
| dc.type | info:eu-repo/semantics/article | es |
| dc.rights.holder | Springer Science Business Media | es |
| dc.identifier.doi | 10.1007/s11227-020-03235-9 | es |
| dc.relation.publisherversion | https://link.springer.com/article/10.1007/s11227-020-03235-9 | es |
| dc.identifier.publicationfirstpage | 9922 | es |
| dc.identifier.publicationissue | 12 | es |
| dc.identifier.publicationlastpage | 9941 | es |
| dc.identifier.publicationtitle | The Journal of Supercomputing | es |
| dc.identifier.publicationvolume | 76 | es |
| dc.peerreviewed | SI | es |
| dc.description.project | Este trabajo forma parte del proyecto de investigación RTI2018-098156-B-C53 financiado por la Agencia Estatal de Investigación (AEI) y el Ministerio de Ciencia, Innovación y Universidades (MCIU) | es |
| dc.identifier.essn | 1573-0484 | es |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
| dc.subject.unesco | 1203 Ciencia de Los Ordenadores | es |
| dc.subject.unesco | 3304 Tecnología de Los Ordenadores | es |
