Articles

  • 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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  • VMblog Expert Interviews: Univa Discusses Navops Launch 2.0 & Integrated Support for Slurm

    Univa recently announced Navops Launch 2.0, an updated version of its popular cloud-automation platform that also includes integrated support for the widely-used Slurm workload scheduler. To find out more, VMblog spoke with Gary Tyreman, president and CEO of Univa. VMblog: Tell us about Navops Launch and what’s new in this release. Gary Tyreman: Navops Launch provides a…

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  • Interview: Univa Steps Up with NAVOPS 2.0 for moving HPC Workloads to the Cloud

    Today Univa announced the newest release of its popular Navops Launch cloud-automation platform. Navops Launch 2.0 delivers new capabilities to help simplify the migration of enterprise HPC workloads to the cloud, enabling enterprises to transition HPC workloads to the cloud while reducing costs by 30-40 percent. To learn more, we caught up with Univa CEO Gary Tyreman. insideHPC: With this…

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  • 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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  • Transforming Business Analysis Through HPC, AI and Data Analytics Integration

    In this age of data-driven analysis, many organizations are looking for a comprehensive solution to handle all of their processing needs. They need computer systems that have a workload-optimized architecture that can process varying workloads from HPC to deep learning. But selecting hardware and software for such a system and implementing the system is a…

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