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dc.contributor.authorPérez-Serrano, Jesús
dc.contributor.authorSandes, Edans
dc.contributor.authorMelo, Alba
dc.contributor.authorUjaldon-Martinez, Manuel 
dc.date.accessioned2017-05-30T12:46:24Z
dc.date.available2017-05-30T12:46:24Z
dc.date.created2017
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10630/13778
dc.descriptionArtículo publicado en el libro de actas del congreso.es_ES
dc.description.abstractWe present a performance per watt analysis of CUDAlign 4.0, a parallel strategy to obtain the optimal alignment of huge DNA se- quences in multi-GPU platforms using the exact Smith-Waterman method. Speed-up factors and energy consumption are monitored on different stages of the algorithm with the goal of identifying advantageous sce- narios to maximize acceleration and minimize power consumption. Ex- perimental results using CUDA on a set of GeForce GTX 980 GPUs illustrate their capabilities as high-performance and low-power devices, with a energy cost to be more attractive when increasing the number of GPUs. Overall, our results demonstrate a good correlation between the performance attained and the extra energy required, even in scenarios where multi-GPUs do not show great scalability.es_ES
dc.description.sponsorshipUniversidad de Málaga, Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectÁcido desoxirribonucleicoes_ES
dc.subject.otherGPGPUes_ES
dc.subject.otherCUDAes_ES
dc.subject.otherDNAes_ES
dc.subject.otherenergy costses_ES
dc.titleSmith-Waterman Acceleration in Multi-GPUs: A Performance per Watt Analysises_ES
dc.typeinfo:eu-repo/semantics/preprintes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitle5th Intl. Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO'17)es_ES
dc.relation.eventplaceGranada (España)es_ES
dc.relation.eventdate26 al 28 de Abril, 2017es_ES
dc.cclicenseby-nc-ndes_ES


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