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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/161398

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Title: Improving the performance of physics applications in atom-based clusters with rCUDA
Author: Silla, Federico Prades, Javier Baydal Cardona, María Elvira Reaño, Carlos
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Embargo end date: 2022-03-31
Abstract:
[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 ...[+]
Subjects: RCUDA , Low-power processors , Physics applications , GPU virtualization , InfiniBand
Copyrigths: Embargado
Source:
Journal of Parallel and Distributed Computing. (issn: 0743-7315 )
DOI: 10.1016/j.jpdc.2019.11.007
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.jpdc.2019.11.007
Project ID:
GENERALITAT VALENCIANA/PROMETEO/2017/077
Thanks:
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.
Type: Artículo

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