0'R..lly (11-2011) | PDF | 122 pages | 1449309925 | 5.6Mb
Parallel R /by Q. Ethan McCallum, Stephen Weston. 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 singlethreaded and memory boundbecome especially troublesome in the current era of large scale data analysis. Its 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 Amazons cloud computing platform.
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