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Parallel R.pdf
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Book DescriptionIt's tough to argue with R as a high-quality, cross-platform, open source statistical software product - unless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You'll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they work well, and when they don't.
With these packages, you can overcome R's single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R's memory barrier.
| Book Details | |
| Publisher: | O'Reilly Media |
| By: | Q. Ethan McCallum, Stephen Weston |
| ISBN: | 978-1-44930-992-3 |
| Year: | 2011 |
| Pages: | 126 |
| Language: | English |
| File size: | 6 MB |
| File format: | PDF |
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