Programming Books C Java PHP Python Learn more Browse Programming Books
Parallel R and over one million other books are available for Amazon Kindle. Learn more
Buy New
$19.85
Qty:1
  • List Price: $21.99
  • Save: $2.14 (10%)
FREE Shipping on orders over $35.
In Stock.
Ships from and sold by Amazon.com.
Gift-wrap available.
Add to Cart
Want it tomorrow, April 22? Order within and choose One-Day Shipping at checkout. Details
Trade in your item
Get a $4.05
Gift Card.
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more

Parallel R Paperback

ISBN-13: 978-1449309923 ISBN-10: 1449309925 Edition: 1st

See all 4 formats and editions Hide other formats and editions
Amazon Price New from Used from Collectible from
Kindle
"Please retry"
Paperback
"Please retry"
$19.85
$14.90 $11.99
Unknown Binding
"Please retry"

Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student



Frequently Bought Together

Parallel R + The Art of R Programming: A Tour of Statistical Software Design + Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Price for all three: $65.38

Buy the selected items together

NO_CONTENT_IN_FEATURE

Shop the New Digital Design Bookstore
Check out the Digital Design Bookstore, a new hub for photographers, art directors, illustrators, web developers, and other creative individuals to find highly rated and highly relevant career resources. Shop books on web development and graphic design, or check out blog posts by authors and thought-leaders in the design industry. Shop now

Product Details

  • Paperback: 126 pages
  • Publisher: O'Reilly Media; 1 edition (November 2, 2011)
  • Language: English
  • ISBN-10: 1449309925
  • ISBN-13: 978-1449309923
  • Product Dimensions: 9.2 x 7 x 0.3 inches
  • Shipping Weight: 7.8 ounces (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #772,305 in Books (See Top 100 in Books)

Editorial Reviews

Book Description

Data Analysis in the Distributed World

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 parallel computing 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.


More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

4.0 out of 5 stars
Share your thoughts with other customers

Most Helpful Customer Reviews

5 of 5 people found the following review helpful By Joshua Ulrich on July 1, 2012
Format: Paperback
You have a problem: R is single-threaded, but your code would be faster if it could simultaneously run on more than one core. You have access to a cluster and/or your computer has multiple cores. Parallel R, by Q. Ethan McCallum and Stephen Weston, can help you put this extra computing power to use. The review on my blog ([...]) has several useful links.

The book describes 6 approaches to distributed computing:

1) snow
The chapter starts by showing you how to create a socket cluster on a single machine (later sections discuss MPI clusters, and socket clusters of several machines). Then a section describes how to initialize workers, with a later section giving a slightly advanced discussion on how functions are serialized to workers.

There's a great demonstration (including graphs) of why/when you should use clusterApplyLB instead of clusterApply. There's also a fantastic discussion on potential I/O issues (probably one of the most surprising/confusing issues to people new to distributed computing) and how parApply handles them. Then the authors provide a very useful parApplyLB function.

There are a few (but very important!) paragraphs on random number generation using the rsprng and rlecuyer packages.

2) multicore
The chapter starts by noting that the multicore package only works on a single computer running a POSIX compliant operating system (i.e. most anything except Windows).

The next section describes the mclapply function, and also explains how mclapply creates a cluster each time it's called, why this isn't a speed issue, and how it is actually beneficial. The next few sections describe some of the optional mclapply arguments, and how you can achieve load balancing with mclapply.
Read more ›
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
1 of 1 people found the following review helpful By Justin Brandenburg on January 28, 2014
Format: Kindle Edition Verified Purchase
The packages are out of date and have been replaced by ones that are more comprehensive. Still offers a good explanation of parallel programming.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
Format: Kindle Edition Verified Purchase
Adding 300pp or so would be very helpful. This book does not cover enough ground for sophisticated, statistics literate beginners in R (like me) and I think that less of it would probably be enough for people who know more about R and 'big data"tools.

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.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again

Product Images from Customers

Search
ARRAY(0xa0767864)

What Other Items Do Customers Buy After Viewing This Item?