Details

Title CUDA by Example: An Introduction to General-Purpose GPU Programming
Author Sanders, Jason; Kandrot, Edward
Binding Paperback
Edition number 1st
Edition 1
Condition Used - Fair
Pages 320
Volumes 1
Language ENG
Publisher Addison-Wesley Professional, -
Publication date 2010
Features Index, Price on Product - Canadian, Recycled Paper, Table of Contents
Bookseller's Inventory # 005777
ISBN 9780131387683 / 0131387685
Weight 1.15 lbs (0.52 kg)
Dimensions 9.04 x 7.42 x 0.66 in (22.96 x 18.85 x 1.68 cm)
Category Computers - Languages / Programming
Library of Congress Catalogue Number 2010017618
Dewey Decimal Code 005.275

About The Book Escape Maryland, United States

Biblio member since 2008

We are a privately owned used and new book store located in the historic Federal Hill neighborhood of Baltimore, Maryland. We have over 40,000 books in our store. Our inventory includes a large variety of subjects and authors. We take pride in our careful shipping practices. We ship in boxes and not envelopes to protect our books. When available we use recycled or recycleable materials to securely pack and ship our books to you. If you are ever in Baltimore please come by our store. We love visitors!

Terms of Sale:

30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from The Book Escape

Reader reviews for CUDA by Example: An Introduction to General-Purpose GPU Programming

Write a review for this book

Important Terms and Guidelines

Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
Reviews must be at least 140 characters in length.
Please do not reveal critical plot elements.
This is not a help line. Contact customer support if you need help.

Your review must not include:

Obscenities, discriminatory language, or other insulting language not suitable for public domain
Advertisements, “spam” content, or references to other products, offers or websites.
Email addresses, URLs, phone numbers, physical addresses or other contact information.
Overly critical comments about other reviews or reviewers
Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
Availability, price, or alternative ordering/shipping information

From the publisher

"This book is required reading for anyone working with accelerator-based computing systems."

-From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory

CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required-just the ability to program in a modestly extended version of C.

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You'll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance.

Major topics covered include

Parallel programming
Thread cooperation
Constant memory and events
Texture memory
Graphics interoperability
Atomics
Streams
CUDA C on multiple GPUs
Advanced atomics
Additional CUDA resources

All the CUDA software tools you'll need are freely available for download from NVIDIA.

http: //developer.nvidia.com/object/cuda-by-example.html

From the rear cover

"This book is required reading for anyone working with accelerator-based computing systems."
-From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory

CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required-just the ability to program in a modestly extended version of C.

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You'll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance.

Major topics covered include

Parallel programming
Thread cooperation
Constant memory and events
Texture memory
Graphics interoperability
Atomics
Streams
CUDA C on multiple GPUs
Advanced atomics
Additional CUDA resources

All the CUDA software tools you'll need are freely available for download from NVIDIA.

http: //developer.nvidia.com/object/cuda-by-example.html

Media reviews

Citations

Scitech Book News, 12/01/2010, Page 21

About the author

Jason Sanders is a senior software engineer in the CUDA Platform group at NVIDIA. While at NVIDIA, he helped develop early releases of CUDA system software and contributed to the OpenCL 1.0 Specification, an industry standard for heterogeneous computing. Jason received his master's degree in computer science from the University of California Berkeley where he published research in GPU computing, and he holds a bachelor's degree in electrical engineering from Princeton University. Prior to joining NVIDIA, he previously held positions at ATI Technologies, Apple, and Novell. When he's not writing books, Jason is typically working out, playing soccer, or shooting photos.

Edward Kandrot is a senior software engineer on the CUDA Algorithms team at NVIDIA. He has more than twenty years of industry experience focused on optimizing code and improving performance, including for Photoshop and Mozilla. Kandrot has worked for Adobe, Microsoft, and Google, and he has been a consultant at many companies, including Apple and Autodesk. When not coding, he can be found playing World of Warcraft or visiting Las Vegas for the amazing food.

BIBLIO is the largest independent book marketplace in the world, with over 100 million books.