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A tool to assess the communication cost of parallel kernels on heterogeneous platforms

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dc.contributor.authorRico Gallego, Juan Antonio
dc.contributor.authorMoreno Álvarez, Sergio
dc.contributor.authorDíaz Martín, Juan Carlos
dc.contributor.authorLastovetsky, Alexey L.
dc.contributor.orcidhttps://orcid.org/0000-0002-4264-7473
dc.contributor.orcidhttps://orcid.org/0000-0002-8435-3844
dc.contributor.orcidhttps://orcid.org/0000-0001-9460-3897
dc.date.accessioned2024-11-15T09:10:07Z
dc.date.available2024-11-15T09:10:07Z
dc.date.issued2020
dc.descriptionThe registered version of this article, first published in “The Journal of Supercomputing, , 2020, vol. 76", is available online at the publisher's website: Springer, https://doi.org/10.1007/s11227-019-02919-1 La versión registrada de este artículo, publicado por primera vez en “The Journal of Supercomputing, , 2020, vol. 76", está disponible en línea en el sitio web del editor: Springer, https://doi.org/10.1007/s11227-019-02919-1
dc.description.abstractEnsuring applications to achieve an efficient usage of resources and fast execution time in the complex current heterogeneous high-performance computing platforms is a paramount problem. Essential efforts to reach the goal are the optimal partitioning of the data space between the processes composing a typical task/data-parallel application, and their right mapping and deployment on the platform. The computational and communication performance modeling describing the platform and the application behaviors is an increasingly recognized approach. This paper discusses the utility of the τ–Lop analytic communication performance model in facing these issues and contributes with a practical symbolic computation tool that represents, manipulates and accurately evaluates the formal communication cost expression derived from a hybrid kernel. We identify a set of scenarios where the tool could be applied, provide with both basic and advanced use examples and evaluate the tool on real-life kernels.en
dc.description.versionversión final
dc.identifier.citationRico-Gallego, J.A., Moreno-Álvarez, S., Díaz-Martín, J.C. et al. A tool to assess the communication cost of parallel kernels on heterogeneous platforms. J Supercomput 76, 4629–4644 (2020). https://doi.org/10.1007/s11227-019-02919-1
dc.identifier.doihttps://doi.org/10.1007/s11227-019-02919-1
dc.identifier.issn0920-8542
dc.identifier.urihttps://hdl.handle.net/20.500.14468/24384
dc.journal.titleThe Journal of Supercomputing
dc.journal.volume76
dc.language.isoen
dc.page.final4644
dc.page.initial4629
dc.publisherSpringer
dc.relation.centerFacultades y escuelas::E.T.S. de Ingeniería Informática
dc.relation.departmentLenguajes y Sistemas Informáticos
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject12 Matemáticas::1203 Ciencia de los ordenadores ::1203.17 Informática
dc.subject.keywordscommunication performance modelingen
dc.subject.keywordsheterogeneous parallelismen
dc.subject.keywordsheterogeneous partitioning and mappingen
dc.titleA tool to assess the communication cost of parallel kernels on heterogeneous platformsen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication3482d7bc-e120-48a3-812e-cc4b25a6d2fe
relation.isAuthorOfPublication.latestForDiscovery3482d7bc-e120-48a3-812e-cc4b25a6d2fe
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