Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. …
On April 28, the final round of the 2017 ASC Student Supercomputer Challenge (ASC17) …
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A record-breaking twenty student teams plus scores of company representatives, media professionals, staff and student volunteers transformed a formerly empty hall inside the Wuxi Supercomputing Center into a bustling hub of HPC activity, kicking off day one of 2017 Asia Student Supercomputer Challenge (ASC17). …
CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing …
With 2017 underway, we’re looking to the future of high performance computing and the milestones that are growing ever closer.
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As data processing grows more and more specialized, effective storage strategies are more important than ever. And for IT professionals reevaluating their storage needs, software-defined and object-based storage are gaining ground by automating storage management – a trend that is only set to continue.
High performance workloads, big data, and analytics are increasingly important in finding real value in today's applications and data. Before we deploy applications and mine data for mission and business insights, we need a high-performance, rapidly scalable, resilient infrastructure foundation that can accurately, securely, and quickly access data from all relevant sources. Red Hat has technology that allows high performance workloads with a scale-out foundation that integrates multiple data sources and can transition workloads across on-premise and cloud boundaries.
HPC may once have been the sole province for huge corporations and national labs, but with hardware and cloud resources becoming more affordable even small and mid-sized companies are taking advantage.
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