Programming Massively Parallel Processors A Hands-On Approach

ISBN-10: 0124159923
ISBN-13: 9780124159921
Edition: 2nd 2013
List price: $74.95 Buy it from $19.22
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Description: This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries, and explanations of the latest tools. With these improvements, the book retains its concise, intuitive,  More...

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Book details

List price: $74.95
Edition: 2nd
Copyright year: 2013
Publisher: Elsevier Science & Technology Books
Publication date: 12/14/2012
Binding: Paperback
Pages: 514
Size: 7.50" wide x 9.50" long x 1.00" tall
Weight: 1.892
Language: English

This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries, and explanations of the latest tools. With these improvements, the book retains its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses. Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Updates in this edition include: New coverage of CUDA 4.0, improved performance, enhanced development tools, increased hardware support, and moreIncreased coverage of related technology OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelismTwo new case studies explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

Wen-mei W. Hwu is the Walter J. ("Jerry") Sanders III-Advanced Micro Devices Endowed Chair in Electrical and Computer Engineering in the Coordinated Science Laboratory of the University of Illinois at Urbana-Champaign. From 1997 to 1999, Dr. Hwu served as the chairman of the Computer Engineering Program at the University of Illinois. Dr. Hwu received his Ph.D. degree in Computer Science from the University of California, Berkeley. His research interests are in the areas of architecture, implementation, and software for high-performance computer systems. He is the director of the OpenIMPACT project, which has delivered new compiler and computer architecture technologies to the computer industry since 1987. He also serves as the Soft Systems Theme leader of the MARCO/DARPA Gigascale Silicon Research Center (GSRC) and on the Executive Committees of both the GSRC and the MARCO/DARPA Center for Circuit and System Solutions. For his contributions to the areas of compiler optimization and computer architecture, he received the 1993 Eta Kappa Nu Outstanding Young Electrical Engineer Award, the 1994 Xerox Award for Faculty Research, the 1994 University Scholar Award of the University of Illinois, the 1997 Eta Kappa Nu Holmes MacDonald Outstanding Teaching Award, the 1998 ACM SigArch Maurice Wilkes Award, the 1999 ACM Grace Murray Hopper Award, the 2001 Tau Beta Pi Daniel C. Drucker Eminent Faculty Award. He served as the Franklin Woeltge Distinguished Professor of Electrical and Computer Engineering from 2000 to 2004. He is a fellow of IEEE and ACM.

Introduction
History of GPU Computing
Introduction to CUDA C*
CUDA Data Parallelism Model*
CUDA Memories
Performance Considerations
Floating Point Considerations*
Parallel Pattern: Convolutions*
Parallel Pattern: Prefix Sum*
Parallelism Pattern: Sparse Matrix Computation*
Application Case Study: Advanced MRI Reconstruction
Application Case Study: Molecular Visualization and Analysis
Parallel Programming and Computational Thinking
An Introduction to OpenCL
Parallel Programming with OpenACC*
Thrust: A Productivity Oriented Library for CUDA*
CUDA Fortran*
NVIDIA's Kepler*
Conclusions and Future Outlook
* indicates new or significantly revised chapters

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