Accelerating Analysis with Parallelism

Stochastic analysis is used across many fields – from engineering to computational biology to applied statistics. What these fields have in common is that the computational requirements can be simply enormous. Until Intel ships their one Terahertz CPU (not likely to happen soon) solving these problems with parallelism is the only game in town. Analysts and researchers routinely use distributed computing clusters or general-purpose GPUs to parallelize and run problems that would otherwise take days or weeks to run.

Read the source article at AnalyticBridge

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