Tag Archives: Exascale

  • Designing Scalable HPC, Deep Learning, Big Data, and Cloud Middleware for Exascale Systems

    In this video from the UK HPC Conference, DK Panda from Ohio State University presents: Designing Scalable HPC, Deep Learning, Big Data, and Cloud Middleware for Exascale Systems. This talk will focus on challenges in designing HPC, Deep Learning, Big Data and HPC Cloud middleware for Exascale systems with millions of processors and accelerators. For the HPC…

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  • What’s New in HPC Research: Transfer Learning, Radio Astronomy, FPGAs and More

    In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Autotuning exascale applications with multitask and transfer learning Autotuning (where operators automatically find optimal performance parameters for an application) is critical as computing scales up. In this paper,…

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  • High-Performance Computing: a Worthwhile Investment for Enterprise Firms?

    Just a few short months ago, Hewlett-Packard Enterprise (HPE) announced its $1.3 billion acquisition of supercomputing leader Cray. The acquisition marked a curious venture for the HPE, who — as the lead supplier in the global high-performance computing market — had traditionally set their ambitions towards more low-key, less expensive HPC solutions, servicing mostly commercial markets. Meanwhile,…

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  • What’s New in HPC Research: Traffic Simulation, Performance Variations, Scheduling & More

    In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Optimizing visualization performance on power-constrained supercomputers Power consumption is a major hurdle on the road the exascale. In this dissertation, Stephanie Labasan of the University of Oregon…

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  • Berkeley Lab’s John Shalf Ponders the Future of HPC Architectures

    Editor’s note: Ahead of John Shalf’s well-attended and well-received “high-bandwidth” keynote at ISC 2019, Shalf discussed the talk’s major themes in an interview with Berkeley Lab’s Kathy Kincade.  What will scientific computing at scale look like in 2030? With the impending demise of Moore’s Law, there are still more questions than answers for users and…

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