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Advances in GPU architecture for deep learning and scientific computing

dc.contributor.authorParienté, Frédéric
dc.date.accessioned2016-11-15T11:30:12Z
dc.date.available2016-11-15T11:30:12Z
dc.date.issued2016-09-10
dc.identifier.citationParienté, Frédéric. Advances in GPU architecture for deep learning and scientific computing. A: 2nd Severo Ochoa Research Seminar Lectures at BSC, Barcelona, 2015-2016. "Book of abstracts". Barcelona: Barcelona Supercomputing Center, 2016.
dc.identifier.urihttp://hdl.handle.net/2117/96652
dc.description.abstractThe talk will cover the recent NVIDIA product announcements made at the GTC'16 conference, and how the Pascal GPU and NVLink interconnect technologies greatly improve multi-GPU performance and efficiency in deep learning and scientific computing applications.
dc.format.extent2 p.
dc.language.isoeng
dc.publisherBarcelona Supercomputing Center
dc.relation.ispartof2015-2016 Severo Ochoa Research Seminar Lectures at BSC: Book of Abstracts
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshHigh performance computing
dc.subject.lcshGraphics processing units
dc.subject.otherNVIDIA
dc.subject.otherGPU
dc.subject.otherNVLink
dc.titleAdvances in GPU architecture for deep learning and scientific computing
dc.typeConference report
dc.subject.lemacCàlcul intensiu (Informàtica)
dc.rights.accessOpen Access
local.citation.contributor2nd Severo Ochoa Research Seminar Lectures at BSC, Barcelona, 2015-2016
local.citation.pubplaceBarcelona
local.citation.publicationNameBook of abstracts


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