httpv://www.youtube.com/watch?v=nzsL_YQNBR0
In this video, George Fitzgerald of Accelrys presents: Material Science Applications of HPC. Recorded at the HPC User Forum on Sept. 8, 2011.
Industry Perspectives
Making Python Fly: Accelerate Performance Without Recoding
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…]
White Papers
How Oil and Gas Firms Can Create Competitive Advantage with GPU-Accelerated Computing
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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