Advances in GPU architecture for deep learning and scientific computing

Cita com:
hdl:2117/96652
Document typeConference report
Defense date2016-09-10
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
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Except where otherwise noted, its contents are licensed under a Creative Commons license
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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.
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