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Big Data in High-Performance Compute Powered by AMD Opteron
Steve Conway, IDC Research Vice President, High Performance Computing, has posted on AMD@Work blog about how Oak Ridge National Laboratory will use their Jaguar supercomputer powered by 224,000 Opteron processor cores to near real-time analyze five gigantic government databases, in an attempt to reduced fraud and save $50bn per year:
Where HPC is concerned, IDC defines data-intensive (“big data”) problems broadly to include tasks involving sufficient data volumes and complexity to require HPC-based modeling/simulation. The problems can employ structured data, unstructured data, or both. They can come from traditional HPC domains in government, industry and academia–or they can be upward extensions of commercial problems that have grown large and complex enough at the high end to require HPC. In addition, “big data” can accumulate from the multiple results of iterative problem-solving methods in sectors such as manufacturing (parametric modeling) and financial services (stochastic modeling). So, small and medium-size enterprises (SMEs) are also encountering “big data” challenges.
Read the full article on AMD@Work blog.
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