Integrating software and hardware hierarchies in an autotuning method for parallel routines in heterogeneous clusters

Cámara, Jesús; Cuenca Muñoz, Antonio Javier; Giménez, Domingo

Publication:
Integrating software and hardware hierarchies in an autotuning method for parallel routines in heterogeneous clusters

dc.contributor.author	Cámara, Jesús
dc.contributor.author	Cuenca Muñoz, Antonio Javier
dc.contributor.author	Giménez, Domingo
dc.contributor.department	Ingeniería y Tecnología de Computadores
dc.date.accessioned	2025-11-10T10:28:31Z
dc.date.available	2025-11-10T10:28:31Z
dc.date.copyright	© 2020, Springer Science Business Media, LLC
dc.date.issued	2020-03-07
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.
dc.format	application/pdf
dc.format.extent	20
dc.identifier.citation	Cámara, J., Cuenca, J. & Giménez, D. Integrating software and hardware hierarchies in an autotuning method for parallel routines in heterogeneous clusters. Journal of Supercomputing, 2020, Vol. 76, pp. 9922–9941
dc.identifier.doi	https://doi.org/10.1007/S11227-020-03235-9
dc.identifier.eissn	1573-0484
dc.identifier.issn	0920-8542
dc.identifier.uri	http://hdl.handle.net/10201/171869
dc.language	spa
dc.publisher	Springer
dc.relation	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).
dc.relation.publisherversion	https://link.springer.com/article/10.1007/s11227-020-03235-9
dc.rights.accessRights	info:eu-repo/semantics/restrictedAccess
dc.subject	Autotuning
dc.subject	Hybrid programming
dc.subject	Heterogeneous computing
dc.subject	Manycore
dc.subject	Multicore
dc.subject.ods	Objetivo 7: Energía
dc.subject.ods	Objetivo 9: Infraestructura
dc.title	Integrating software and hardware hierarchies in an autotuning method for parallel routines in heterogeneous clusters
dc.type	info:eu-repo/semantics/article
dspace.entity.type	Publication	es
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