Influence of memory access patterns to small-scale FFT performance

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UDC.coleccionInvestigaciónes_ES
UDC.departamentoEnxeñaría de Computadoreses_ES
UDC.endPage131es_ES
UDC.grupoInvGrupo de Arquitectura de Computadores (GAC)es_ES
UDC.issue1es_ES
UDC.journalTitleJournal of Supercomputinges_ES
UDC.startPage120es_ES
UDC.volume64es_ES
dc.contributor.authorLobeiras Blanco, Jacobo
dc.contributor.authorAmor, Margarita
dc.contributor.authorDoallo, Ramón
dc.date.accessioned2025-01-15T09:06:43Z
dc.date.available2025-01-15T09:06:43Z
dc.date.issued2013
dc.descriptionThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11227-012-0807-5es_ES
dc.description.abstract[Abstract]: Modern GPUs (Graphics Processing Units) offer very high computing power at relative low cost. To take advantage of their computing resources and develop efficient implementations is essential to have certain knowledge about the architecture and memory hierarchy. In this paper, we use the FFT (Fast Fourier Transform) as a benchmark tool to analyze different aspects of GPU architectures, like the influence of the memory access pattern or the impact of the register pressure. The FFT is a good tool for performance analysis because it is used in many digital signal processing applications and has a good balance between computational cost and memory bandwidth requirements.es_ES
dc.description.sponsorshipThis work was supported by the Xunta de Galicia under projects 08TIC001206PR and INCITE08PXIB105161PR, the Ministry of Science and Innovation, cofunded by the FEDER funds of the European Union under the grant TIN2010-16735, and the Consolidation of Competitive Research Groups ref. 2010/06.es_ES
dc.description.sponsorshipXunta de Galicia; 08TIC001206PRes_ES
dc.description.sponsorshipXunta de Galicia; INCITE08PXIB105161PRes_ES
dc.identifier.citationLobeiras, J., Amor, M. & Doallo, R. Influence of memory access patterns to small-scale FFT performance. J Supercomput 64, 120–131 (2013). https://doi.org/10.1007/s11227-012-0807-5es_ES
dc.identifier.doi10.1007/s11227-012-0807-5
dc.identifier.issn0920-8542
dc.identifier.urihttp://hdl.handle.net/2183/40724
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN/Plan Nacional de I+D+i 2008-2011/TIN2010–16735/ES/ARQUITECTURAS, SISTEMAS Y HERRAMIENTAS PARA COMPUTACION DE ALTAS PRESTACIONESes_ES
dc.relation.urihttps://doi.org/10.1007/s11227-012-0807-5es_ES
dc.rightsCopyright © 2012, Springer Science Business Media, LLCes_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectSignal processinges_ES
dc.subjectPerformance analysises_ES
dc.subjectFFTes_ES
dc.subjectGPUes_ES
dc.subjectCUDAes_ES
dc.titleInfluence of memory access patterns to small-scale FFT performancees_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication0124b851-fdc5-473b-a559-32a1954aafd0
relation.isAuthorOfPublicationc98c1fe1-2016-44c1-9225-43fe1c6b8088
relation.isAuthorOfPublicationb3302f65-05d3-4b2c-b8b3-8503e58bba5e
relation.isAuthorOfPublication.latestForDiscovery0124b851-fdc5-473b-a559-32a1954aafd0

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