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Q. Ethan McCallum - Parallel R

Here you can read online Q. Ethan McCallum - Parallel R full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2011, publisher: OReilly Media, genre: Computer. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

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Its tough to argue with R as a high-quality, cross-platform, open source statistical software productunless youre in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. Youll 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 dont. With these packages, you can overcome Rs single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address Rs 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 Hadoops power with Rs language and interactive shell Segue: lets you use Elastic MapReduce as a backend for lapply-style operations

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Parallel R
Q. Ethan McCallum
Stephen Weston
Editor
Meghan Blanchette
Editor
Mike Loukides

Copyright 2011 Q. Ethan McCallum and Stephen Weston

OReilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (.

Nutshell Handbook, the Nutshell Handbook logo, and the OReilly logo are registered trademarks of OReilly Media, Inc. Parallel R , the image of a rabbit, and related trade dress are trademarks of OReilly Media, Inc.

Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and OReilly Media, Inc., was aware of a trademark claim, the designations have been printed in caps or initial caps.

While every precaution has been taken in the preparation of this book, the publisher and authors assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein.

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Using Code Examples

This book is here to help you get your job done. In general, you may use the code in this book in your programs and documentation. You do not need to contact us for permission unless youre reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing a CD-ROM of examples from OReilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your products documentation does require permission.

We appreciate, but do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example: Parallel R by Q. Ethan McCallum and Stephen Weston (O'Reilly). Copyright 2012 Q. Ethan McCallum and Stephen Weston, 978-1-449-30992-3.

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Acknowledgments

There are only two names on the cover, but a host of people made this book possible.

We would like to thank the entire OReilly team for their efforts. They provided such a smooth process that we were able to focus on just the writing. A special thanks goes to our editors, Mike Loukides and Meghan Blanchette, for their guidance and support.

We would also like to thank our review team. The following people generously dedicated their time and energy to read this book in its early state, and their feedback helped shape the text into the finished product youre reading now:

Robert Bjornson
Nicholas Carriero
Jonathan Seidman
Paul Teetor
Ramesh Venkataramaiah
Jed Wing

Any errors you find in this book belong to us, the authors.

Most of all we thank you, the reader, for your interest in this book. We set out to create the guidebook we wish wed had when we first tried to give R that parallel, distributed boost. R work is research work, best done with minimal distractions. We hope these chapters help you get up to speed quickly, so you can get R to do what you need with minimal detour from the task at hand.

Q. Ethan McCallum

You like math? Oh, you need to talk to Mike. Let me introduce you. I didnt realize it at the time, but those words were the start of this project. Really. A chance encounter with Mike Loukides led to emails and phone calls and, before I knew it, wed laid the groundwork for a new book. So first and foremost, a hearty thanks to Betsy and Laurel, who made my connection to Mike.

Conversations with Mike led me to my co-author, Steve Weston. Im pleased and flattered that he agreed to join me on this adventure.

Thanks as well to the gang at Cafe les Deux Chats, for providing a quiet place to work.

Stephen Weston

This was my first book project, so Id like to thank my co-author and editors for putting up with my freshman confusion and mistakes. They were very gracious throughout the project.

Im very grateful to Nick, Rob, and Jed for taking the time to read my chapters and help me not to make a fool of myself. I also want to thank my wife Diana and daughter Erica for proofreading material that wasnt on their preferred reading lists.

Finally, Id like to thank all the authors of the packages that we discuss in this book. I had a lot of fun reading the source for all three of the packages that I wrote about. In particular, Ive always loved the

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