Several bug fixes in all components, listed in the release notes, and some new features in WS-GRAM and MDS.
The rest is on Ian Foster’s blog.
Industry Perspectives
Podcast: Memory-Driven Computing
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…]
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.
Featured Job
Copyright © 2019
Leave a Comment