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Conway: Data-Intensive Computing Could Save $Billions

IDC’s Steve Conway has written a nice feature on Big Data in HPC. Once the singular domain of cryptography and weather applications, the data-handling capabilities of supercomputers could potentially have big-dollar effects on our economy:

Oak Ridge National Lab has submitted a proposal to unify all these databases and perform fraud detection using a Cray supercomputer nicknamed “Jaguar” that features 224,000 AMD Opteron™ processor cores. This solution could save $50 billion a year by analyzing the data in near-real time. The same methods could be applied to other criminal behavior, terrorist activities and many of the other applications I mentioned.

Conway goes on to say that recent technology advances have given data-intensive computing much higher potential as a horizontal market. Read the Full Story.

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