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10.604 Lectures/texts in conference proceedings
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Advances in GPU architecture for deep learning and scientific computing

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36-37 2015-16 SORS BoA Advances in GPU architecture.pdf (119,5Kb)
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hdl:2117/96652

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Parienté, Frédéric
Document typeConference report
Defense date2016-09-10
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
The 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.
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. 
URIhttp://hdl.handle.net/2117/96652
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