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http://hdl.handle.net/10662/20370
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Campo DC | Valor | idioma |
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dc.contributor.author | Rico Gallego, Juan Antonio | - |
dc.contributor.author | Díaz Martín, Juan Carlos | - |
dc.contributor.author | Manumachu, Ravi Reddy | - |
dc.contributor.author | Lastovetsky, Alexey L. | - |
dc.date.accessioned | 2024-02-07T18:40:32Z | - |
dc.date.available | 2024-02-07T18:40:32Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 0360-0300 | - |
dc.identifier.uri | http://hdl.handle.net/10662/20370 | - |
dc.description.abstract | This survey aims to present the state of the art in analytic communication performance models, providing sufficiently detailed descriptions of particularly noteworthy efforts. Modeling the cost of communications in computer clusters is an important and challenging problem. It provides insights into the design of the communication pattern of parallel scientific applications and mathematical kernels and sets a clear ground for optimization of their deployment in the increasingly complex high-performance computing infrastructure. The survey provides background information on how different performance models represent the underlying platform and shows the evolution of these models over time from early clusters of single-core processors to present-day multi-core and heterogeneous platforms. Prospective directions for future research in the area of analytic communication performance modeling conclude the survey. | es_ES |
dc.description.sponsorship | This work was supported by the European Regional Development Fund “A way to achieve Europe” (ERDF) and the Extremadura Local Government (Ref. IB16118) and the Science Foundation Ireland (SFI) under Grant Number 14/IA/2474. This work was partially supported by the EU under the COST Program Action IC1305: Network for Sustainable Ultrascale Computing (NESUS). | - |
dc.format.extent | 36 p. | es_ES |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | es_ES |
dc.publisher | Association for Computing Machinery. | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivates 4.0 International | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | Communication performance models | es_ES |
dc.subject | Analytic modeling | es_ES |
dc.subject | Communication performance | es_ES |
dc.subject | High-performance computing | es_ES |
dc.subject | Modelo analítico | - |
dc.subject | Rendimiento de la comunicación | - |
dc.subject | Comunicación de alto rendimiento | - |
dc.title | A Survey of Communication Performance Models for High-Performance Computing | es_ES |
dc.type | article | es_ES |
dc.description.version | peerReviewed | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | openAccess | - |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | Juan A. Rico-Gallego, Juan C. Díaz-Martín, Ravi Reddy Manumachu, and Alexey L. Lastovetsky. 2019. A Survey of Communication Performance Models for High-Performance Computing. ACM Comput. Surv. 51, 6, Article 126 (November 2019), 36 pages. https://doi.org/10.1145/3284358 | - |
dc.type.version | publishedVersion | - |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Ingeniería de Sistemas Informáticos y Telemáticos | es_ES |
dc.contributor.affiliation | University College Dublin. Ireland | - |
dc.relation.publisherversion | https://dl.acm.org/doi/10.1145/3284358 | es_ES |
dc.identifier.doi | https://doi.org/10.1145/3284358 | - |
dc.identifier.publicationtitle | ACM Computing Surveys | es_ES |
dc.identifier.publicationissue | 6 | es_ES |
dc.identifier.publicationfirstpage | 126-1 | es_ES |
dc.identifier.publicationlastpage | 126-36 | es_ES |
dc.identifier.publicationvolume | 51 | es_ES |
dc.identifier.orcid | 0000-0002-4264-7473 | - |
Colección: | DISIT - Artículos |
Archivos
Archivo | Descripción | Tamaño | Formato | |
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3284358.pdf | 3,75 MB | Adobe PDF | Descargar |
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