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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Developers are increasingly besieged by the big data deluge. Intel Distribution for Python uses tried-and-true libraries like the Intel Math Kernel Library (Intel MKL)and the Intel Data Analytics Acceleration Library to make Python code scream right out of the box – no recoding required. Intel highlights some of the benefits dev teams can expect in this sponsored post. [READ MORE…]
Previously, many organizations trying to analyze big data relied on costly, central processing unit (CPU) intensive infrastructure. With graphics processing unit (GPU)-accelerated computing, though, the information technology (IT) industry has a new, more effective, more efficient alternative. Download the new white paper from Penguin Computing that explores how adoption of GPU-accelerated computing can offer a significant return on investment (ROI) today and pave the way to gain additional advantage from future technical developments.
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