Depending on whether you’ve been caught outside during a severe hail storm, the sight of greenish tinted clouds on the horizon may cause serious knots in the pit of your stomach, or at least gi …
From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the computer we use most (hopefully) and u …
On July 12, 2017, the U.S. federal budget for its Exascale Computing Initiative (ECI) took its next step forward. On that day, the full Appropriations Committee of the House of Representatives vo …
View the news and highlights from this year’s ISC High Performance 2017 in Frankfurt, Germany.
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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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