In the first report from last week’s PRACEdays15 conference in Dublin, Tom Wilkie from Scientific Computing World considers why so much Exascale software will be open source and why engineers are not using parallel programs.
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
The ROI of GPU-Accelerated Computing
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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