GPU.Computing.Gems.Emerald.Edition.pdf

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GPUComputingGems
EmeraldEdition
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MorganKaufmann’sApplicationsofGPUComputingSeries
Computing is quickly becoming the third pillar of scientific research, due in large part to the perfor-
mance gains achieved through graphics processing units (GPUs), which have become ubiquitous in
handhelds, laptops, desktops, and supercomputer clusters. Morgan Kaufmann’s ApplicationsofGPU
Computing series offers training, examples, and inspiration for researchers, engineers, students, and
supercomputing professionals who want to leverage the power of GPUs incorporated into their simu-
lations or experiments. Each high-quality, peer-reviewed book is written by leading experts uniquely
qualified to provide parallel computing insights and guidance.
Each GPUComputingGems volume offers a snapshot of the state of parallel computing across a
carefully selected subset of industry domains, giving you a window into the lead-edge research occur-
ring across the breadth of science, and the opportunity to observe others’ algorithm work that might
apply to your own projects. Find out more at http://mkp.com/gpu-computing-gems .
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GPUComputingGems
EmeraldEdition
Wen-meiW.Hwu
AMSTERDAM BOSTON HEIDELBERG LONDON
NEW YORK OXFORD PARIS SAN DIEGO
SAN FRANCISCO SINGAPORE SYDNEY TOKYO
Morgan Kaufmann Publishers is an imprint of Elsevier
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AcquiringEditor: Todd Green
AssistantEditor: Robyn Day
ProjectManager: Paul Gottehrer
Designer: Dennis Schaefer
Morgan Kaufmann is an imprint of Elsevier
30 Corporate Drive, Suite 400, Burlington, MA 01803, USA
c 2011 NVIDIA Corporation and Wen-mei W. Hwu. Published by Elsevier Inc. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or by any means, electronic or
mechanical, including photocopying, recording, or any information storage and retrieval system, without
permission in writing from the publisher. Details on how to seek permission, further information about the
Publisher’s permissions policies and our arrangements with organizations such as the Copyright Clearance Center
and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions .
This book and the individual contributions contained in it are protected under copyright by the Publisher (other
than as may be noted herein).
Notices
Knowledge and best practice in this field are constantly changing. As new research and experience broaden our
understanding, changes in research methods or professional practices, may become necessary. Practitioners and
researchers must always rely on their own experience and knowledge in evaluating and using any information or
methods described herein. In using such information or methods they should be mindful of their own safety and
the safety of others, including parties for whom they have a professional responsibility.
To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability
for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or
from any use or operation of any methods, products, instructions, or ideas contained in the material herein.
LibraryofCongressCataloging-in-PublicationData
GPU computing gems / editor, Wen-mei W. Hwu.
p. cm.
Includes bibliographical references.
ISBN 978-0-12-384988-5
1. Graphics processing units–Programming. 2. Imaging systems. 3. Computer graphics. 4. Image
processing–Digital techniques. I. Hwu, Wen-mei.
T385.G6875 2011
006.6–dc22
2010047487
BritishLibraryCataloguing-in-PublicationData
A catalogue record for this book is available from the British Library.
For information on all MK publications visit our website at
www.mkp.com
Printed in the United States of America
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