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dc.contributor.author | Mislata Valero, Santiago | es_ES |
dc.contributor.author | Silla Jiménez, Federico | es_ES |
dc.date.accessioned | 2016-06-23T12:23:04Z | |
dc.date.available | 2016-06-23T12:23:04Z | |
dc.date.issued | 2015-09 | |
dc.identifier.isbn | 978-1-4673-6598-7 | |
dc.identifier.uri | http://hdl.handle.net/10251/66379 | |
dc.description | ©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. | es_ES |
dc.description.abstract | 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 overall resource utilization but virtualizing individual components of computers may also provide significant benefits. This is the case, for example, for the remote GPU virtualization technique, implemented in several frameworks during the last years. In this paper we present an initial implementation of a new middleware for the remote virtualization of another component of computers: the CPU itself. Our proposal uses remote accelerators to perform computations that were initially intended to be carried out in the local CPUs, doing so transparently to the application and without having to modify its source code. By making use of the OpenBLAS and FFTW libraries as case studies to show the performance gains of our proposal, we carry out a performance evaluation targeting several system configurations comprising Xeon processors as well as Ethernet and InfiniBand QDR, FDR, and EDR network adapters in addition to NVIDIA Tesla K40 GPUs. Results not only demonstrate that the new middleware is feasible, but they also show that mathematical libraries may experience a significant speed up, despite of having to move data forth and back to/from remote servers. | es_ES |
dc.description.sponsorship | This work was funded by the Generalitat Valenciana under Grant PROMETEOII/2013/009 of the PROMETEO program phase II. | es_ES |
dc.format.extent | 8 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | IEEE Computer Society | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Virtualization | es_ES |
dc.subject | GPUs | es_ES |
dc.subject | Mathematical libraries | es_ES |
dc.subject.classification | ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES | es_ES |
dc.title | On the Execution of Computationally Intensive CPU-based Libraries on Remote Accelerators to Increase Performance: Early Experience with the OpenBLAS and FFTW Libraries | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.1109/CLUSTER.2015.111 | |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2013%2F009/ES/DESARROLLO DE LIBRERIAS PARA GESTIONAR EL ACCESO A DISPOSITIVOS REMOTOS COMPARTIDOS EN SERVIDORES DE ALTAS PRESTACIONES/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors | es_ES |
dc.description.bibliographicCitation | 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. https://doi.org/10.1109/CLUSTER.2015.111 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 4th International Workshop on Heterogeneous and Unconventional Cluster Architectures and Applications (HUCAA'15) | es_ES |
dc.relation.conferencedate | September 8-11, 2015 | es_ES |
dc.relation.conferenceplace | Chicago, IL, USA | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1109/CLUSTER.2015.111 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 301451 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |