By Erricos John Kontoghiorghes
Technological advancements proceed to thrust back the frontier of processor pace in smooth pcs. regrettably, the computational depth demanded via glossy examine difficulties grows even speedier. Parallel computing has emerged because the such a lot winning bridge to this computational hole, and plenty of well known ideas have emerged in accordance with its thoughts, reminiscent of grid computing and vastly parallel supercomputers. The Handbook of Parallel Computing and information systematically applies the foundations of parallel computing for fixing more and more complicated difficulties in information learn.
This distinctive reference weaves jointly the foundations and theoretical types of parallel computing with the layout, research, and alertness of algorithms for fixing statistical difficulties. After a quick creation to parallel computing, the e-book explores the structure, programming, and computational points of parallel processing. concentration then turns to optimization equipment by means of statistical functions. those functions contain algorithms for predictive modeling, adaptive layout, real-time estimation of higher-order moments and cumulants, information mining, econometrics, and Bayesian computation. professional members summarize fresh effects and discover new instructions in those parts.
Its tricky blend of thought and useful purposes makes the Handbook of Parallel Computing and facts an amazing better half for assisting remedy the abundance of computation-intensive statistical difficulties bobbing up in quite a few fields.
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