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Parallel R (Paperback)
Q. Ethan McCallum; Contributions by Stephen Weston
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R512
R368
Discovery Miles 3 680
Save R144 (28%)
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Ships in 12 - 17 working days
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R is a wonderful thing, indeed: in recent years this free,
open-source product has become a popular toolkit for statistical
analysis and programming. Two of R's limitations -- that it is
single-threaded and memory-bound -- become especially troublesome
in the current era of large-scale data analysis. It's possible to
break past these boundaries by putting R on the parallel path.
Parallel R will describe how to give R parallel muscle. Coverage
will include stalwarts such as snow and multicore, and also newer
techniques such as Hadoop and Amazon's cloud computing platform.
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