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dc.contributor.authorUjaldon-Martinez, Manuel 
dc.date.accessioned2019-10-24T06:56:27Z
dc.date.available2019-10-24T06:56:27Z
dc.date.created2019
dc.date.issued2019-10-24
dc.identifier.urihttps://hdl.handle.net/10630/18634
dc.description.abstractAfter an impressive evolution within the last decade, Graphics Processing Units (GPUs) constitute nowadays a solid trend to accelerate scientific applications. This talk unveils the GPU architecture from an applied perspective, which makes it the cornerstone for Deep Learning, Big Data, Real-Time and Low-Power applications. We will pay a closer attention to Nvidia developments, the leading manufacturer in the HPC marketplace, focusing on the latest Volta and Turing designs.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectProcesadores gráficosen_US
dc.subjectArquitectura de ordenadoresen_US
dc.subjectIngeniería de ordenadoresen_US
dc.titleGPUs for high performance computing, Deep learning and beyonden_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitle13th Intl. Conference on Parallel Processing and Applied Mathematics (PPAM'19)en_US
dc.relation.eventplaceBialystok (Polonia)en_US
dc.relation.eventdateSeptiembre de 2019en_US


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