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Parallel R

OREILLY AND ASSOCIATE

Paperback

Published: 29th February 2012
Ships: 5 to 9 business days
RRP $29.95
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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. 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.

  • Snow: works well in a traditional cluster environment
  • Multicore: popular for multiprocessor and multicore computers
  • Parallel: part of the upcoming R 2.14.0 release
  • R+Hadoop: provides low-level access to a popular form of cluster computing
  • RHIPE: uses Hadoop's power with R's language and interactive shell
  • Segue: lets you use Elastic MapReduce as a backend for lapply-style operations

ISBN: 9781449309923
ISBN-10: 1449309925
Series: OREILLY AND ASSOCIATE
Audience: General
Format: Paperback
Language: English
Number Of Pages: 122
Published: 29th February 2012
Dimensions (cm): 22.9 x 18.0  x 0.73
Weight (kg): 0.22