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Empirical Installation of Linear Algebra Shared-Memory Subroutines for Auto-Tuning

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Empirical Installation of Linear Algebra Shared-Memory Subroutines for Auto-Tuning

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dc.contributor.author Cámara, Jesús es_ES
dc.contributor.author Cuenca, Javier es_ES
dc.contributor.author Giménez, Domingo es_ES
dc.contributor.author García, Luis Pedro es_ES
dc.contributor.author Vidal Maciá, Antonio Manuel es_ES
dc.date.accessioned 2015-04-27T08:10:03Z
dc.date.available 2015-04-27T08:10:03Z
dc.date.issued 2014-06
dc.identifier.issn 0885-7458
dc.identifier.uri http://hdl.handle.net/10251/49284
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/s10766-013-0249-6 es_ES
dc.description.abstract The introduction of auto-tuning techniques in linear algebra shared-memory routines is analyzed. Information obtained in the installation of the routines is used at running time to take some decisions to reduce the total execution time. The study is carried out with routines at different levels (matrix multiplication, LU and Cholesky factorizations and linear systems symmetric or general routines) and with calls to routines in the LAPACK and PLASMA libraries with multithread implementations. Medium NUMA and large cc-NUMA systems are used in the experiments. This variety of routines, libraries and systems allows us to obtain general conclusions about the methodology to use for linear algebra shared-memory routines auto-tuning. Satisfactory execution times are obtained with the proposed methodology. es_ES
dc.description.sponsorship Partially supported by Fundacion Seneca, Consejeria de Educacion de la Region de Murcia, 08763/PI/08, PROMETEO/2009/013 from Generalitat Valenciana, the Spanish Ministry of Education and Science through TIN2012-38341-C04-03, and the High-Performance Computing Network on Parallel Heterogeneus Architectures (CAPAP-H). The authors gratefully acknowledge the computer resources and assistance provided by the Supercomputing Centre of the Scientific Park Foundation of Murcia and by the Centre de Supercomputacio de Catalunya. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof International Journal of Parallel Programming es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Linear algebra libraries es_ES
dc.subject Linear algebra routines es_ES
dc.subject Empirical installation es_ES
dc.subject Shared-memory es_ES
dc.subject Auto-tuning es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title Empirical Installation of Linear Algebra Shared-Memory Subroutines for Auto-Tuning es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10766-013-0249-6
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F013/ES/Computacion de altas prestaciones sobre arquitecturas actuales en porblemas de procesado múltiple de señal/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-38341-C04-03/ES/MEJORA DE ARQUITECTURA DE SERVIDORES, SERVICIOS Y APLICACIONES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/f SéNeCa//08763%2FPI%2F08/ES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Cámara, J.; Cuenca, J.; Giménez, D.; García, LP.; Vidal Maciá, AM. (2014). Empirical Installation of Linear Algebra Shared-Memory Subroutines for Auto-Tuning. International Journal of Parallel Programming. 42(3):408-434. https://doi.org/10.1007/s10766-013-0249-6 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s10766-013-0249-6 es_ES
dc.description.upvformatpinicio 408 es_ES
dc.description.upvformatpfin 434 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 42 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 264296
dc.contributor.funder Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Comunidad Autónoma de la Región de Murcia es_ES
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