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AI: Deeper Learning with Intel® Omni-Path Architecture
Deep learning is a powerful tool that identifies patterns, extracts meaning from large, diverse datasets, and solves complex problems. However, integrating neural networks into existing compute …
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Stanford University and UberCloud Achieve Breakthrough in Living Heart Simulations
Cardiac arrhythmia can be an undesirable and potentially lethal side effect of drugs. During this condition, the electrical activity of the heart turns chaotic, decimating its pumping function, t …
Exascale Computing Project Names Doug Kothe as Director
The Department of Energy’s Exascale Computing Project (ECP) has named Doug Kothe as its new director effective October 1. He replaces Paul Messina, who is stepping down after two years to ret …
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Intersect 360 at ISC: HPC Industry at $44B by 2021
June 22, 2017
The care, feeding and sustained growth of the HPC industry increasingly is in the hands of the commercial market sector – in particular, it’s the hyperscale Read more…
RIKEN Posts Extensive Study of Global Supercomputer Plans in Time for ISC 2017
June 13, 2017
On the eve of ISC 2017 and the next release of the Top500 list, Japan’s RIKEN Advanced Institute for Computational Science has posted an extensive study by IDC that compares and contrasts international efforts on pre-exascale and early exascale plans. Read more…
HPC Technique Propels Deep Learning at Scale
February 21, 2017
Researchers from Baidu's Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural networ Read more…
HPC Cloud Startup Launches ‘App Store’ for HPC Workflows
February 9, 2017
"Civilization advances by extending the number of important operations which we can perform without thinking about them," wrote mathematician Alfred Lord Whiteh Read more…
ANSYS Adds Cycle Orchestration for Enterprise Cloud HPC
February 4, 2017
The waiting is the hardest part. When design engineers need to run complex simulations, too often they find that the HPC resources required for those workloa Read more…
Heresies of the New HPC Cloud Universe
January 25, 2017
Perhaps ‘heresies’ is a bit strong, but HPC in the cloud, even for academics, is a fast-changing domain that’s increasingly governed by a new mindset, says Tim Carroll, head of ecosystem development and sales at Cycle Computing, an early pioneer in HPC cloud orchestration and provisioning software. The orthodoxy of the past – an emphatic focus on speeds and feeds, if you will – is being erased by changing researcher attitudes and the advancing capabilities of public (AWS, Microsoft, Google et al.) and private (Penguin, et al.) clouds. Read more…
Answered Prayers for High Frequency Traders? Latency Cut to 20 Nanoseconds
January 23, 2017
“You can buy your way out of bandwidth problems. But latency is divine.” This sentiment, from Intel Technical Computing Group CTO Mark Seager, seems as o Read more…
Clemson Software Optimizes Big Data Transfers
January 11, 2017
Data-intensive science is not a new phenomenon as the high-energy physics and astrophysics communities can certainly attest, but today more and more scientists Read more…
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Creating a Modular, Building-Block Architecture for Life Science Workflows
As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.
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Lenovo Distributed Storage Solution
As data processing grows more and more specialized, effective storage strategies are more important than ever. And for IT professionals reevaluating their storage needs, software-defined and object-based storage are gaining ground by automating storage management – a trend that is only set to continue.
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Sponsored by Lenovo
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Enabling Open Source High Performance Workloads with Red Hat
High performance workloads, big data, and analytics are increasingly important in finding real value in today's applications and data. Before we deploy applications and mine data for mission and business insights, we need a high-performance, rapidly scalable, resilient infrastructure foundation that can accurately, securely, and quickly access data from all relevant sources. Red Hat has technology that allows high performance workloads with a scale-out foundation that integrates multiple data sources and can transition workloads across on-premise and cloud boundaries.
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Sponsored by Red Hat
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Sorting Fact from Fiction: HPC-enabled Engineering Simulations, On-premises or in the Cloud
HPC may once have been the sole province for huge corporations and national labs, but with hardware and cloud resources becoming more affordable even small and mid-sized companies are taking advantage.
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Webcasts and webinars: Enabling Open Source High Performance Workloads with Red Hat
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