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Improving the performance of physics applications in atom-based clusters with rCUDA

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Improving the performance of physics applications in atom-based clusters with rCUDA

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Silla, F.; Prades, J.; Baydal Cardona, ME.; Reaño, C. (2020). Improving the performance of physics applications in atom-based clusters with rCUDA. Journal of Parallel and Distributed Computing. 137:160-178. https://doi.org/10.1016/j.jpdc.2019.11.007

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Título: Improving the performance of physics applications in atom-based clusters with rCUDA
Autor: Silla, Federico Prades, Javier Baydal Cardona, María Elvira Reaño, Carlos
Entidad UPV: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Fecha difusión:
Resumen:
[EN] Traditionally, High-Performance Computing (HPC) has been associated with large power requirements. The reason was that chip makers of the processors typically employed in HPC deployments have always focused on getting ...[+]
Palabras clave: RCUDA , Low-power processors , Physics applications , GPU virtualization , InfiniBand
Derechos de uso: Reserva de todos los derechos
Fuente:
Journal of Parallel and Distributed Computing. (issn: 0743-7315 )
DOI: 10.1016/j.jpdc.2019.11.007
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.jpdc.2019.11.007
Código del Proyecto:
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2017%2F077/
Agradecimientos:
This work was funded by the Generalitat Valenciana, Spain under Grant PROMETEO/2017/077. Authors are also grateful for the generous support provided by Mellanox Technologies Inc.
Tipo: Artículo

References

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