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Parallel R

Parallel R Computer Science

Parallel R

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Description
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 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
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
120
Release Date:
2011-10-26
Publication Date:
2011-11-29
Publisher:
O'Reilly Media
Languages:
Original: English
ISBN10:
1449309925
ISBN13:
9781449309923
GPSR Manufacturer Reference:
[email protected]
Weight:
223 g
Height:
180 cm
Width:
232 cm
Thickness:
13 cm
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