- Paperback: 126 pages
- Publisher: O'Reilly Media; 1 edition (November 5, 2011)
- Language: English
- ISBN-10: 1449309925
- ISBN-13: 978-1449309923
- Product Dimensions: 7 x 0.3 x 9.2 inches
- Shipping Weight: 7.8 ounces (View shipping rates and policies)
- Average Customer Review: 11 customer reviews
- Amazon Best Sellers Rank: #1,056,645 in Books (See Top 100 in Books)
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Parallel R: Data Analysis in the Distributed World 1st Edition
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About the Author
Q Ethan McCallum is a consultant, writer, and technology enthusiast, though perhaps not in that order. His work has appeared online on The O’Reilly Network and Java.net, and also in print publications such as C/C++ Users Journal, Doctor Dobb’s Journal, and Linux Magazine. In his professional roles, he helps companies to make smart decisions about data and technology.
Stephen Weston has been working in high performance and parallelcomputing for over 25 years. He was employed at Scientific Computing Associates in the 90's, working on the Linda programming system, invented by David Gelernter. He was also a founder of Revolution Computing, leading the development of parallel computing packages for R, including nws, foreach, doSNOW, and doMC. He works at Yale University as an HPC Specialist.
Top customer reviews
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I would pay many tenfolds the price for more information in this book. The author is definitely an expert: I hope he writes the right book soon as there is a market for it.
R is a great tool and many of us are very interested in parallel --but this book for some will be just an appetizer.