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.
- ISBN10 1449309925
- ISBN13 9781449309923
- Publish Date 29 November 2011 (first published 1 January 2011)
- Publish Status Active
- Out of Print 1 October 2024
- Publish Country US
- Imprint O'Reilly Media
- Format Paperback
- Pages 120
- Language English