Category Archives: HPCwire

  • eSilicon Chooses Univa to Manage Complex ASIC Chip Designs for High-Bandwidth Networking, HPC, AI and 5G Applications

    CHICAGO, May 14, 2019 — Univa, a leading innovator in enterprise-grade workload management and optimization solutions for on-premise and hybrid cloud high-performance computing (HPC), today announced that eSilicon selected Univa’s Grid Engine enterprise-class workload scheduling and optimization solution to help manage its complex FinFET ASIC and IP designs and scale its environment, as well as…

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  • Shaping the Future of Finance with HPC

    NCSA Faculty Fellow and Assistant Professor at the Gies College of Business at the University of Illinois Mao Ye’s research lies at the intersection of big data, high-performance computing and the economics, and finance realm. Using computing resources, Ye tackles large amounts of data currently being collected by companies and finance institutions. “The high-performance computing is more like…

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  • What’s New in HPC Research: The Race to Exascale, Reproducibility, TensorFlow & More

    In this bimonthly feature, HPCwire highlights newly published research in the HPC community and related domains. From parallel programming to exascale to quantum computing, the details are here. Charting the race to exascale in Europe The European Union has been doubling down on its commitment to HPC with initiatives like EuroHPC. In this paper, authors from the…

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  • Containers as ‘Tupperware’: Experts Debate Container Concepts, Strategies

    Panels tend to be among the livelier conference sessions and the “Containers” panel at Tabor’s Advanced Scale Forum last week in Jacksonville, Fla., was certainly no exception. Moderated by Ryan Quick (principal, Providentia Worldwide — formerly with PayPal), the session aimed to catalyze debate about the evolving container landscape in HPC, and “hopefully get rid…

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  • Top Ten Ways AI Affects HPC in 2019

    AI workloads are becoming ubiquitous, including running on the world’s fastest computers — thereby changing what we call HPC forever. As every organization plans for the future, AI workloads are on our minds — how do they affect programming, software needs, hardware demands, and training needs? In the upcoming year, specialists and AI experts will continue…

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