In this video from the 2014 HPCAC Stanford HPC & Exascale Conference, Scot Schultz from Mellanox presents: Scalable Solutions for HPC.
Download the slides (PDF) * See more talks at the Stanford HPC Conference Video Gallery
Industry Perspectives
Podcast: Deep Learning for Scientific Data Analysis
In this NERSC News Podcast, Debbie Bard from NERSC describes how Deep Learning can help scientists accelerate their research. "Deep learning is enjoying unprecedented success in a variety of commercial applications, but it is also beginning to find its footing in science. Just a decade ago, few practitioners could have predicted that deep learning-powered systems would surpass human-level performance in computer vision and speech recognition tasks." [Read More...]
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Unified Deep Learning with CPU, GPU and FPGA Technologies
Deep learning and complex machine learning has quickly become one of the most important computationally intensive applications for a wide variety of fields. Download the new paper — from Advanced Micro Devices Inc. (AMD) and Xilinx Inc. — that explores the challenges of deep learning training and inference, and discusses the benefits of a comprehensive approach for combining CPU, GPU, FPGA technologies, along with the appropriate software frameworks in a unified deep learning architecture.
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