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Biotech Companies Seeing ROI in HPC Systems

Over at BizTech, Kym Gilhooly writes that a growing number of businesses are acknowledging “to compete, you must compute,” turning to HPC systems to supercharge modeling, simulation and data analysis. The commoditization of technologies used within HPC systems puts them within reach of SMBs, says James Lowey, vice president of technology at the Translational Genomics Research Institute (TGen),...

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An Overview of the NUMA Architecture

Over at ACM QUEUE, Christoph Lameter has posted an overview of NUMA (Non-Uniform Memory Access) in today’s computing architectures. As the trend toward improving system performance by bringing memory nearer to processor cores continues, NUMA will play an increasingly important role in system performance. Modern processors have multiple memory ports,...

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A Leap Forward in Efficiency with Real-Time PUE

Over at Datacenter Knowledge, Patrick Flynn from IOhttp://www.io.com/ writes one-time PUE measurements are not an effective measure of energy efficiency and that real-time PUE is the wave of the future. With a data center industry mandate for greater energy efficiency, we need to evolve to newer, enhanced measurement models. Though a retroactive, building-averaged PUE may serve to confirm overall progress, it falls short of helping to pinpoint opportunities for improvement.

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Infographic Showcases Top 10 Supercomputers

  AIS brings us this infographic showcasting the world’s 10 fastest supercomputers as ranked by the TOP500 list. The TOP500 project ranks and details the 500 most powerful (non-distributed) computer systems in the world. The project was started in 1993 and publishes an updated list of the supercomputers twice a...

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Software Development Standards for Next-gen HPC Systems

John Barr asks what standard approach can the industry agree on to make next-generation HPC systems easier to program? When the architecture of high-performance computing (HPC) systems changes, the tools and programming paradigms used to develop applications may also have to change. We have seen several such evolutions in recent decades, including the introduction of multiprocessors, the use of heterogeneous processors to accelerate applications, vector processors, and cluster computing. .

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