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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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dc.contributor.author Prades Gasulla, Javier es_ES
dc.contributor.author Varghese, Blesson es_ES
dc.contributor.author Reaño González, Carlos es_ES
dc.contributor.author Silla Jiménez, Federico es_ES
dc.date.accessioned 2018-06-10T04:21:51Z
dc.date.available 2018-06-10T04:21:51Z
dc.date.issued 2017 es_ES
dc.identifier.issn 0743-7315 es_ES
dc.identifier.uri http://hdl.handle.net/10251/103729
dc.description.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 consumption as well as underutilisation of the accelerator. The research reported in this paper is motivated towards the use of few physical GPUs by providing cluster nodes access to remote GPUs on-demand for a financial risk application. We hypothesise that sharing GPUs between several nodes, referred to as multi-tenancy, reduces the execution time and energy consumed by an application. Two data transfer modes between the CPU and the GPUs, namely concurrent and sequential, are explored. The key result from the experiments is that multi-tenancy with few physical GPUs using sequential data transfers lowers the execution time and the energy consumed, thereby improving the overall performance of the application. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Parallel and Distributed Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject GPU virtualisation es_ES
dc.subject Acceleration-as-a-Service es_ES
dc.subject rCUDA es_ES
dc.subject Multi-tenancy es_ES
dc.subject Energy efficiency es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Multi-tenant virtual GPUs for optimising performance of a financial risk application es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jpdc.2016.06.002 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 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.jpdc.2016.06.002 es_ES
dc.description.upvformatpinicio 28 es_ES
dc.description.upvformatpfin 44 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 108 es_ES
dc.relation.pasarela 317202 es_ES


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