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Multi-tenant virtual GPUs for optimising performance of a financial risk application

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Multi-tenant virtual GPUs for optimising performance of a financial risk application

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Prades Gasulla, J.; Varghese, B.; Reaño González, C.; Silla Jiménez, F. (2017). Multi-tenant virtual GPUs for optimising performance of a financial risk application. Journal of Parallel and Distributed Computing. 108:28-44. doi:10.1016/j.jpdc.2016.06.002

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/103729

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Title: Multi-tenant virtual GPUs for optimising performance of a financial risk application
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Graphics Processing Units (GPUs) are becoming popular accelerators in modern High-Performance Computing (HPC) clusters. Installing GPUs on each node of the cluster is not efficient resulting in high costs and power ...[+]
Subjects: GPU virtualisation , Acceleration-as-a-Service , rCUDA , Multi-tenancy , Energy efficiency
Copyrigths: Reserva de todos los derechos
Source:
Journal of Parallel and Distributed Computing. (issn: 0743-7315 )
DOI: 10.1016/j.jpdc.2016.06.002
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.jpdc.2016.06.002
Type: Artículo

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