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Q. Ethan McCallum - Parallel R - 9781449309923 - V9781449309923
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Parallel R

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Description for Parallel R Paperback. 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. Num Pages: 122 pages, Illustrations. BIC Classification: UMX. Category: (XV) Technical / Manuals. Dimension: 233 x 178 x 8. Weight in Grams: 244.
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.

Product Details

Format
Paperback
Publication date
2011
Publisher
O´Reilly Media
Number of pages
122
Condition
New
Number of Pages
120
Place of Publication
Sebastopol, United States
ISBN
9781449309923
SKU
V9781449309923
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1

About Q. Ethan McCallum
Q Ethan McCallum is a consultant, writer, and technology enthusiast, though perhaps not in that order. His work has appeared online on The O'Reilly Network and Java.net, and also in print publications such as C/C++ Users Journal, Doctor Dobb's Journal, and Linux Magazine. In his professional roles, he helps companies to make smart decisions about data and technology. ... Read more

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