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Rankings Released For Supercomputers Doing 'big Data'


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Credit: Graph500

The latest Graph500 competition, which measures supercomputers that handle big data scaling problems, featured 50 systems, up from nine in last year's competition. The U.S. National Nuclear Security Administration/SC Blue Gene/Q Prototype II ranked first, while Sandia National Laboratories' Ultraviolet, Red Sky, Dingus, and Wingus ranked 10th, 13th, 23rd, and 24th, respectively.

The Graph500 focuses on a machine's ability to solve complex problems involving random-appearing graphs. "Companies are interested in doing well on the Graph500 because large-scale data analytics are an increasingly important problem area and could eclipse traditional high-performance computing in overall importance to society," says Sandia's Richard Murphy. Big-data problems indicate how well computing systems store and communicate large amounts of data in irregular, fast-changing communication patterns.

Moscow State University's Lomonosov supercomputer ranked second on this year's Graph500 list, followed by the Tokyo Institute of Technology's TSUBAME, Forschungszentrum Julich's Jugene, and Argonne National Laboratory's Intrepid.

From Sandia National Laboratories
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