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Flexibility and the Evolution of GPU Applications and Systems

Dell’s Dr. Jeff Layton writes about the need for flexibility in the evolution of GPU applications and systems: “In my interactions with a great number of HPC customers, I’ve found one thing to be true: writing code for GPUs is an evolutionary process. Actually writing any code follows an evolutionary process, but it is more pronounced with GPU applications because small changes can have a...

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Cray to Build Huge, Grunting 20-Petaflop ‘Titan’ for US Gov Labs

Oak Ridge National Laboratory, one of the big supercomputer centers funded by the US Department of Energy, has tapped Cray to build a monster cluster that will weigh in at 20 petaflops when it is completed next year.

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Video: One Stop Shop for GPU Programming Resources

In this video, Andy Shue from the University of Illinois presents an overview of the programming resources available at gpucomputing.net.

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Stanford’s New GPU-Powered Numbercruncher to Aid Computational Biology

Stanford University will soon power up a new GPU-powered supercomputer for computational biology. Developed in partnership with Scalable Informatics and Xtreme Compute Technologies, the system will comprise 100 Tesla C2050 GPUs in a heterogeneous cluster to be dubbed “numbercruncher”.

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Podcast: Open Source Zenoss Cloud Management and Monitoring Tool

Monitoring supercomputers can be a challenge, to say the least. To monitor their computing environment, Los Alamos National Labs has developed and released an HPC version of Zenoss, an open source software for monitoring applications, networks, servers and more. In this RCE podcast, Brock Palen and Jeff Squyres speak with Randal...

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