Radio HPC: The Rich Report

In this podcast, Doug Kothe from the Exascale Computing Project describes the 2019 ECP Annual Meeting. "The 2019 Exascale Computing Project (ECP) Annual Meeting will convene to highlight technical accomplishments that are being enabled by interactions and collaborations within the ECP community, which encompasses the ECP focus areas, U.S. Department of Energy high-performance computing facilities, and vendors. Networking opportunities will be emphasized and project participants asked to explore ways to leverage and share requirements with other ECP efforts. Key topics to be covered at the meeting are discussions of future systems, software stack plans, and interactions with facilities. Several parallel sessions are also planned throughout the meeting.'

In this podcast, Peter Braam looks at how TensorFlow framework could be used to accelerate high performance computing. "Google has developed TensorFlow, a truly complete platform for ML. The performance of the platform is amazing, and it begs the question if it will be useful for HPC in a similar manner that GPU’s heralded a revolution."

In this slidecast, Greg Stewart from Novel Therm describes how the company provides HPC As a Service using geothermal energy. As a wholesale provider of Geothermal HPC Data Centers, Novel Therm is a truly renewable energy source option for your HPC data center.

Building an HPC data center? You've come to the right place. Tell us what you need and we will create a fixed price, wholesale, green energy solution for your data center needs. We will save you money and time while saving the planet. Low Impact Geothermal Energy Is At The Core Of What We Do. Providing The Lowest Cost Solution For HPC Is What We Do Best." Watch the video: https://wp.me/p3RLHQ-jL7

Learn more: http://noveltherm.com/

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In this Rich Report podcast, Pradeep Dubey discusses AI & The Virtuous Cycle of Compute. Traditionally, there has been a division of labor between computers and humans where all forms of number crunching and bit manipulation are left to computers, whereas intelligent decision-making is left to us humans. We are now at the cusp of a major transformation that can disrupt this balance. This disruption is triggered by an unprecedented convergence of massive compute with massive data, and some recent algorithmic advances. This confluence has the potential to spur a virtuous cycle of compute. Deep Learning was recently scaled to obtain 15PF performance on the Cori supercomputer at NERSC. Cori Phase II features over 9600 KNL processors. It can significantly impact how we do computing and what computing can do for us. In this talk, I will discuss some of the application-level opportunities and system-level challenges that lie at the heart of this intersection of traditional high performance computing with emerging data-intensive computing.

Dr. Pradeep Dubey is an Intel Fellow and Director of Parallel Computing Lab (PCL), part of Intel Labs. His research focus is computer architectures to efficiently handle new compute- and data-intensive application paradigms for the future computing environment. He previously worked at IBM’s T.J. Watson Research Center, and Broadcom Corporation. He has made contributions to the design, architecture, and application-performance of various microprocessors, including IBM Power PC, Intel i386, i486, Pentium Xeon, and the Xeon Phi line of processors. He holds over 36 patents, has published more than 100 technical papers, won the Intel Achievement Award in 2012 for Breakthrough Parallel Computing Research, and was honored with Purdue University’s 2014 Outstanding Electrical and Computer Engineer Award. Dr. Dubey received a PhD in electrical engineering from Purdue University. He is a Fellow of IEEE.  

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