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On the Execution of Computationally Intensive CPU-based Libraries on Remote Accelerators to Increase Performance: Early Experience with the OpenBLAS and FFTW Libraries

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On the Execution of Computationally Intensive CPU-based Libraries on Remote Accelerators to Increase Performance: Early Experience with the OpenBLAS and FFTW Libraries

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Mislata Valero, S.; Silla Jiménez, F. (2015). On the Execution of Computationally Intensive CPU-based Libraries on Remote Accelerators to Increase Performance: Early Experience with the OpenBLAS and FFTW Libraries. IEEE Computer Society. doi:10.1109/CLUSTER.2015.111

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/66379

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Título: On the Execution of Computationally Intensive CPU-based Libraries on Remote Accelerators to Increase Performance: Early Experience with the OpenBLAS and FFTW Libraries
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Fecha difusión:
Resumen:
Virtualization techniques have shown to report benefits to data centers and other computing facilities. In this regard, virtual machines not only allow reducing the size of the computing infrastructure while increasing ...[+]
Palabras clave: Virtualization , GPUs , Mathematical libraries
Derechos de uso: Reserva de todos los derechos
ISBN: 978-1-4673-6598-7
DOI: 10.1109/CLUSTER.2015.111
Editorial:
IEEE Computer Society
Versión del editor: http://dx.doi.org/10.1109/CLUSTER.2015.111
Título del congreso: 4th International Workshop on Heterogeneous and Unconventional Cluster Architectures and Applications (HUCAA'15)
Lugar del congreso: Chicago, IL, USA
Fecha congreso: September 8-11, 2015
Descripción: ©2015IEEE. 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.
Tipo: Comunicación en congreso

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