In this episode of This Week in HPC, Michael Feldman and Addison Snell from Intersect360 Research discuss a recent National Research Council report that indicates the NSF is falling behind in supercomputing. After the break, they look at new Big Data Appliances from Cray and SGI.
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In this podcast, HPE Distinguished Technologist Kim Keeton describes the concept of Memory-Driven Computing and how it relates to traditional high performance computing. In terms of application areas, Kim also explains her perspective on blockchain and self-driving cars. “Memory-Driven Computing sets itself apart by giving every processor in a system access to a giant shared pool of memory – a sharp departure from today’s systems where relatively small amounts of memory are tethered to each processor. The resulting inefficiencies limit performance.” [READ MORE…]
Previously, oil and gas firms relied on costly, central processing unit (CPU) intensive infrastructure to manage data usage and analysis speed. GPUs for oil and gas firms have given rise to a new set of opportunities. Download the new report from Penguin Computing outlines how the adoption of GPU-accelerated computing can offer oil and gas firms significant return on investment (ROI) today and pave the way to gain additional advantage from future technical developments.
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