 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 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.
download link:
http://www.filesonic.com/file/3269750204
http://oron.com/6gn2yq6obzvr
http://www.crocko.com/5B7178E5361847049BC928266E023345
|
