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portada Parallel r
Type
Physical Book
Topic
programming - general
Year
2011
Language
English
Pages
126
Format
Paperback
ISBN13
9781449309923
Edition No.
1

Parallel r

Q. Ethan Mccallum; Stephen Weston (Author) · O'reilly & Assoc Inc · Paperback

Parallel r - Q. Ethan Mccallum; Stephen Weston

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Synopsis "Parallel r "

It’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, including three chapters on using R and Hadoop together. You’ll learn the basics of Snow, Multicore, Parallel, Segue, RHIPE, and Hadoop Streaming, 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.Snow: works well in a traditional cluster environmentMulticore: popular for multiprocessor and multicore computersParallel: part of the upcoming R 2.14.0 releaseR+Hadoop: provides low-level access to a popular form of cluster computingRHIPE: uses Hadoop’s power with R’s language and interactive shellSegue: lets you use Elastic MapReduce as a backend for lapply-style operations

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