Malleability Implementation in a MPI Iterative Method
Impacto
Scholar |
Otros documentos de la autoría: Martín Álvarez, Iker; Aliaga Estellés, José Ignacio; Castillo Catalán, María Isabel; Mayo, Rafael; Iserte, Sergio
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
comunitat-uji-handle4:
INVESTIGACIONEste recurso está restringido
10.1109/Cluster48925.2021.00078 |
Metadatos
Título
Malleability Implementation in a MPI Iterative MethodAutoría
Fecha de publicación
2021-09Editor
IEEEISBN
9781728196664; 9781728196671ISSN
2168-9253; 1552-5244Cita bibliográfica
I. Martín-Álvarez, J. I. Aliaga, M. I. Castillo, R. Mayo and S. Iserte, "Malleability Implementation in a MPI Iterative Method," 2021 IEEE International Conference on Cluster Computing (CLUSTER), 2021, pp. 801-802, doi: 10.1109/Cluster48925.2021.00078.Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://ieeexplore.ieee.org/document/9555988/authors#authorsVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
In this poster is evaluated the data redistribution stage for two malleable versions of the Conjugate Gradient. One version is based on synchronous communications, while the other one uses asynchronous communications ... [+]
In this poster is evaluated the data redistribution stage for two malleable versions of the Conjugate Gradient. One version is based on synchronous communications, while the other one uses asynchronous communications to overlap computation and data redistribution. Both improve execution time when adding more processes, but there is not a noticeable difference between them, because the asynchronous method lowers the performance of the iterations due to the method’s own communications. When both versions are compared, the synchronous version is preferred when resizing to more processes, while the asynchronous one achieves better times when resizing to fewer processes. [-]
Descripción
Ponència presentada en: 2021 IEEE International Conference on Cluster Computing (CLUSTER), 7-10 sept. 2021, Portland, OR, USA
Publicado en
2021 IEEE International Conference on Cluster Computing Cluster 2021, 9781728196664Entidad financiadora
Generalitat Valenciana | Fondos Sociales Europeos
Código del proyecto o subvención
UJI-B2019-36 | TIN2017-82972-R | APOSTD/2020/026
Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess