System News
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Articles for the keywords: HPC
15 Sep 2017 Machine & Deep Learning: Practical Deployments and Best Practices for the Next Two Years [66405]
insideHPC, September 15th, 2017

In this video from the HPC User Forum in Milwaukee, Arno Kolster from Providentia Worldwide presents: Machine & Deep Learning: Practical Deployments and Best Practices for the Next Two Years.

"Providentia Worldwide is a new venture in technology and solutions consulting which bridges the gap between High Performance Computing and Enterprise Hyperscale computing. We take the best practices from the most demanding compute environments in the world and apply those techniques and design patterns to your business. We believe that a solution isn't a solution until it works for you, the way you and your organization envisions..."
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02 Sep 2017 What Lies Ahead for HPC Cooling? [65974]
insideHPC, September 2nd, 2017

"As the HPC industry collectively approaches exascale, the importance of energy efficiency - and maximizing the efficiency and performance of cooling technology - becomes paramount to ensuring that the cost of HPC resources does not become prohibitively expensive.

To meet the ambitious targets for exascale computing, many cooling companies are exploring optimizations and innovative methods that will redefine cooling architectures for the next generation of HPC systems. Here, some of the prominent cooling technology providers give their views on the current state and future prospects of cooling technology in HPC..."
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28 Aug 2017 NERSC Scales Scientific Deep Learning to 15 Petaflops [65972]
HPCWire, August 28th, 2017

Rob Farber writes, "A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, according to the authors of the paper (and to the best of their knowledge), currently the most scalable deep-learning implementation in the world. The work described in the paper, 'Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data', reported that a Cray XC40 system with a configuration of 9,600 self-hosted 1.4GHz Intel Xeon Phi Processor 7250 based nodes achieved a peak rate between 11.73 and 15.07 petaflops (single-precision) and an average sustained performance of 11.41 to 13.47 petaflops when training on physics and climate based data sets using Lawrence Berkeley National Laboratory's (Berkeley Lab) NERSC (National Energy Research Scientific Computing Center) Cori Phase-II supercomputer..."
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20 Jun 2017 Hyperion: Deep Learning, AI Helping Drive Healthy HPC Industry Growth ($11B In 2016) [64448]
HPCWire, June 20th 2017

"To be at the ISC conference in Frankfurt this week is to experience deep immersion in deep learning. Users want to learn about it, vendors want to talk about it, analysts and journalists want to report on it. Deep learning underlays Hyperion Research's optimistic HPC market forecast, with the former IDC HPC analyst team noting that deep learning (and high performance data analytics) is driving HPC into organizations that aren't even aware they're 'doing HPC.'

Adoption of deep learning is one of several 'Dark Energy' forces expanding the HPC universe in ways that are difficult to observe directly, said Hyperion's Bob Sorensen. Other compute- and data-intensive forces pushing industry growth are security anomaly detection, financial services applications and the offloading of HPC workloads to the public cloud..."
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12 Jun 2017 Inflection Point In HPC Wattage Driving Demand For Distributed Liquid Cooling [64290]
HPCWire, June 12th 2017

"Increasing wattage of CPUs and CPUs has been the trend in HPC for many years. So why is it that in the run up to ISC17, there is an increasing amount of buzz about this increased wattage? Many sense that an inflection point has been reached in the relationship between server density, the wattage of key silicon components and heat rejection..."
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