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A performance comparison of CUDA remote GPU virtualization frameworks

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A performance comparison of CUDA remote GPU virtualization frameworks

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Reaño González, C.; Silla Jiménez, F. (2015). A performance comparison of CUDA remote GPU virtualization frameworks. IEEE. doi:10.1109/CLUSTER.2015.76

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/64622

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Title: A performance comparison of CUDA remote GPU virtualization frameworks
Author: Reaño González, Carlos Silla Jiménez, Federico
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
Using GPUs reduces execution time of many applications but increases acquisition cost and power consumption. Furthermore, GPUs usually attain a relatively low utilization. In this context, remote GPU virtualization ...[+]
Subjects: GPGPU , CUDA , HPC , Virtualization
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-4673-6598-7
Source:
(issn: 1552-5244 )
DOI: 10.1109/CLUSTER.2015.76
Publisher:
IEEE
Publisher version: http://dx.doi.org/10.1109/CLUSTER.2015.76
Conference name: 2015 IEEE International Conference on Cluster Computing (Cluster 2015)
Conference place: Chicago, USA
Conference date: September 8-11, 2015
Project ID:
GV/PROMETEOII-2013/009
Description: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Thanks:
This work was funded by the Generalitat Valenciana under Grant PROMETEOII/2013/009 of the PROMETEO program phase II. Authors are also grateful for the generous support provided by Mellanox Technologies
Type: Comunicación en congreso

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