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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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Takeaways from the Milwaukee HPC User Forum
Milwaukee’s elegant Pfister Hotel hosted approximately 100 attendees for the 66th HPC User Forum (September 5-7, 2017). In the original home city of Pabst Blue Ribbon and Harley Davidson motorc …
Kathy Yelick Charts the Promise and Progress of Exascale Science
On Friday, Sept. 8, Kathy Yelick of Lawrence Berkeley National Laboratory and the University of California, Berkeley, delivered the keynote address on “Breakthrough Science at the Exascale” a …
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Tuning InfiniBand Interconnects Using Congestion Control
July 26, 2017
InfiniBand is among the most common and well-known cluster interconnect technologies. However, the complexities of an InfiniBand (IB) network can frustrate the Read more…
NSF Project Sets Up First Machine Learning Cyberinfrastructure – CHASE-CI
July 25, 2017
Earlier this month, the National Science Foundation issued a $1 million grant to Larry Smarr, director of Calit2, and a group of his colleagues to create a comm Read more…
400Gb Open Ethernet Switch from Mellanox
July 6, 2017
Mellanox (NASDAQ: MLNX) today announced Spectrum-2, billed by the interconnect company as the most scalable 200 and 400GB/second Open Ethernet switch, offering Read more…
Intersect360 Survey Shows Continued InfiniBand Dominance
July 4, 2017
There were few surprises in Intersect360 Research’s just released report on interconnect use in HPC. InfiniBand and Ethernet remain the dominant protocols acr Read more…
Mellanox Raises SHIELD for Enhanced Network Resiliency
June 15, 2017
High-performance networking company Mellanox is announcing a new protocol it’s calling SHIELD, an acronym for “Self Healing Interconnect Enhancement for int 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…
Dr. Eng Lim Goh Hails New Frontier of Scalable Learning
March 2, 2017
Dr. Eng Lim Goh is one of the leading HPC visionaries of our time. He's been the driving force behind SGI's technical computing program for nearly two decades, Read more…
Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super
February 16, 2017
In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which w Read more…
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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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Sorting Fact from Fiction: HPC-enabled Engineering Simulations, On-premises or in the Cloud
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