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Statisticians, engineers, scientists, and analysts in performance-intensive domains, such as financial services, multimedia systems, and bioinformatics, are trying to harness the processing power available in cloud computing environments to analyze financial trends, create test simulations, model climate, compile code, render video, decode genomes and other complex processing tasks. The proliferation of cloud environments during the past several years has contributed to explosive growth in management and provisioning tools that enable unobtrusive access to - and control over - elastic hardware and the migration of software applications onto this hardware. Elastic hardware can substantially accelerate the performance of applications that can distribute and/or parallelize their internal workloads on co-located or distributed cores.
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