Tag Archives: Deep Learning

  • What’s New in HPC Research: Smart Vehicles, Phylogenetics, Satellite Imagery & 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. Building hands-on research and training for HPC As HPC becomes more widespread, training a skilled HPC workforce is more important than ever. This paper – written…

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  • New Twists in the Intertwining of HPC and AI

    The alliance between high performance computing and artificial intelligence is proving to be a fruitful one for researchers looking to accelerate scientific discovery in everything from climate prediction and genomics to particle physics and drug discovery. The impetus behind this is to use AI, and machine learning in particular, to augment the predictive capacity of…

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  • Exascale Systems, AI and Cloud Use Boost Worldwide HPC Market Five-Year Forecast to $44 Billion (€39 Billion)

    FRANKFURT, Germany, June 18, 2019 – During Hyperion Research’s HPC market update session held here today in conjunction with the ISC19 conference, the industry analyst firm announced it has increased its five-year forecast to reach $44 billion (€39 billion) in 2023, compared with the prior forecast of $39 billion (€35 billion) for that year. In…

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  • 5 Benefits Artificial Intelligence Brings to HPC

    According to findings from Hyperion Research, simulation is primarily responsible for expanding the global HPC market from $2 billion in 1990 to a projected $38 billion in 2022. And one of the fastest-growing components of that forecast is high performance data analysis — using HPC systems for data-intensive simulation and analytics. HPC simulation began in government…

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  • HPC or AI: Composability is Still King

    Whether we want to term it HPC, AI, hyperscale, or something in between to apply to large-scale enterprise, there are fundamental changes afoot for big organizations with large clusters that are doing double (or quadruple) duty with production workloads and the new integration of machine learning. This integration happens differently depending on the problems being…

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