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dc.contributor.authorÁlvarez Martínez, Millán
dc.contributor.authorFraguela, Basilio B.
dc.contributor.authorCabaleiro, José Carlos
dc.contributor.authorRivera, Francisco F.
dc.date.accessioned2024-04-18T09:06:27Z
dc.date.available2024-04-18T09:06:27Z
dc.date.issued2024-03-11
dc.identifier.citationMartínez, M.A., Fraguela, B.B., Cabaleiro, J.C. et al. A new thread-level speculative automatic parallelization model and library based on duplicate code execution. J Supercomput (2024). https://doi.org/10.1007/s11227-024-05987-0es_ES
dc.identifier.issn1573-0484
dc.identifier.issn0920-8542
dc.identifier.urihttp://hdl.handle.net/2183/36240
dc.descriptionFunding for open access charge: Universidade da Coruña/CISUGes_ES
dc.description.abstractLoop-efficient automatic parallelization has become increasingly relevant due to the growing number of cores in current processors and the programming effort needed to parallelize codes in these systems efficiently. However, automatic tools fail to extract all the available parallelism in irregular loops with indirections, race conditions or potential data dependency violations, among many other possible causes. One of the successful ways to automatically parallelize these loops is the use of speculative parallelization techniques. This paper presents a new model and the corresponding C++ library that supports the speculative automatic parallelization of loops in shared memory systems, seeking competitive performance and scalability while keeping user effort to a minimum. The primary speculative strategy consists of redundantly executing chunks of loop iterations in a duplicate fashion. Namely, each chunk is executed speculatively in parallel to obtain results as soon as possible and sequentially in a different thread to validate the speculative results. The implementation uses C++11 threads and it makes intensive use of templates and advanced multithreading techniques. An evaluation based on various benchmarks confirms that our proposal provides a competitive level of performance and scalability.es_ES
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This research was supported by Grants PID2019-104184RB-I00, PID2019-104834GB-I00, PID2022-141623NB-I00, and PID2022-136435NB-I00, funded by MCIN/AEI/ 10.13039/501100011033, PID2022 also funded by "ERDF A way of making Europe", EU, and the predoctoral Grant of Millán Álvarez Ref. BES-2017-081320, and by the Xunta de Galicia co-founded by the European Regional Development Fund (ERDF) under the Consolidation Programme of Competitive Reference Groups (ED431C 2021/30 and ED431C 2022/16). Funding for open access charge: Universidade da Coruña/CISUG. We also acknowledge the support from the Centro Singular de Investigación de Galicia "CITIC" and the Centro Singular de Investigación en Tecnoloxías Intelixentes "CiTIUS", funded by Xunta de Galicia and the European Union (European Regional Development Fund- Galicia 2014-2020 Program), by grants ED431G 2019/01 and ED431G 2019/04. We also acknowledge the Centro de Supercomputación de Galicia (CESGA).es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2021/30es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2022/16es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/04es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104184RB-I00/ES/DESAFÍOS ACTUALES EN HPC: ARQUITECTURAS, SOFTWARE Y APLICACIONESes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104834GB-I00/ES/COMPUTACION DE ALTAS PRESTACIONES Y CLOUD PARA APLICACIONES DE ALTO INTERESes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-141623NB-I00/ES/COMPUTACION DE ALTAS PRESTACIONES, HETEROGENEA Y EN LA NUBE PARA APLICACIONES DE ALTA DEMANDAes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-136435NB-I00/ES/ARQUITECTURAS, FRAMEWORKS Y APLICACIONES DE LA COMPUTACION DE ALTAS PRESTACIONESes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BES-2017-081320/ES/es_ES
dc.relation.urihttps://doi.org/10.1007/s11227-024-05987-0es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectSpeculative parallelismes_ES
dc.subjectAutomatic parallelizationes_ES
dc.subjectThread-level speculationes_ES
dc.subjectTemplate metaprogramminges_ES
dc.titleA new thread-level speculative automatic parallelization model and library based on duplicate code executiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleThe Journal of Supercomputinges_ES


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