Tag Archives: Hardware

  • HPC Market Update from Hyperion Research

    In this video from the HPC User Forum at Argonne, Earl Joseph from Hyperion Research presents and HPC Market Update. The company helps IT professionals, business executives, and the investment community make fact-based decisions on technology purchases and business strategy. Our industry experts are the former IDC high performance computing (HPC) analyst team, which remains intact and continues…

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  • Considerations for Managing HPC Resources

    In this special guest feature, Robert Roe from Scientific Computing World writes that companies faced with increasing complexity are developing new services and tools to help users manage their HPC resources. As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilized efficiently…

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  • High Performance Systems: An “Open Plan” for HPC

    Gray Area Between Computing Paradigms One of the things that I spend a lot of time thinking about is the gray area between computing paradigms — especially with the rise of what I like to call “generally specialized computing”. Whether you spend your time on campus networks, in the cloud, mining cryptocurrencies, enabling smart cities,…

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  • The Challenges of Updating Scientific Codes for New HPC Architectures

    In this video from PASC19 in Zurich, Benedikt Riedel from the University of Wisconsin describes the challenges researchers face when it comes to updating their scientific codes for new HPC architectures. After that he describes his work on the IceCube Neutrino Observatory. The IceCube Neutrino Observatory is the first detector of its kind, designed to observe the cosmos from…

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  • Hybrid Cloud: Weighing up What to Run in the Cloud and On-Premise

    Within large, enterprise IT environments, senior management are increasingly pushing their IT department to pinpoint applications and services that could be pushed off into the cloud for performance, cost and resiliency reasons. But how do you go about deciding what should run where, and which workloads might be better off running where they are now?…

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