fa26-cs759 cs759
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Programming Massively Parallel Processors
In Praise of Programming Massively Parallel Processors: A Hands-on Approach
David Patterson
Nicolas Pinto
Mateo Valero
Mike Giles
Hanspeter Pfister
Shannon Steinfadt
Programming Massively Parallel Processors
Programming Massively Parallel Processors
© 2010 David B. Kirk/NVIDIA Corporation and Wen-mei Hwu. Published by Elsevier Inc. All rights reserved.
Notices
Library of Congress Cataloging-in-Publication Data Application Submitted
Contents
CHAPTER 1 INTRODUCTION…1
CHAPTER 2 HISTORY OF GPU COMPUTING 21
CHAPTER 3 INTRODUCTION TO CUDA…39
CHAPTER 4 CUDA THREADS…59
CHAPTER 5 CUDA™ MEMORIES…77
CHAPTER 6 PERFORMANCE CONSIDERATIONS…95
CHAPTER 7 FLOATING POINT CONSIDERATIONS …125
CHAPTER 8 APPLICATION CASE STUDY: ADVANCED MRI RECONSTRUCTION…141
CHAPTER 9 APPLICATION CASE STUDY: MOLECULAR VISUALIZATION AND ANALYSIS…173
CHAPTER 10 PARALLEL PROGRAMMING AND COMPUTATIONAL THINKING …191
CHAPTER 11 A BRIEF INTRODUCTION TO OPENCL™ 205
CHAPTER 12 CONCLUSION AND FUTURE OUTLOOK … 221
APPENDIX A MATRIX MULTIPLICATION HOST-ONLY VERSION SOURCE CODE …233
APPENDIX B GPU COMPUTE CAPABILITIES 245
WHY WE WROTE THIS BOOK
TARGET AUDIENCE
HOW TO USE THE BOOK
A Three-Phased Approach
Tying It All Together: The Final Project
The Project Workshop
The Design Document
The Project Report
ONLINE SUPPLEMENTS
Acknowledgments