Ensuring there are applications ready to churn out useful science when the first U.S. exascale computers arrive in the 2021-2023 timeframe is Doug Kothe’s job …
More than 250 attendees and participants came together for PRACEdays17 in Barcelona last week, part of the European HPC Summit Week 2017, held May 15-19 at t …
If you have not already tried using PGAS, it is time to consider adding PGAS to the programming techniques you know. Partitioned Global Array Space, commonly kn …
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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