Programming Massively Parallel Processors A Hands-On Approach

Hwu, Wen-Mei W. & David B. Kirk

ISBN 10: 0123814723 / ISBN 13: 9780123814722

Published by Morgan Kaufmann, 2010

About this Item

Minor wear only. The pages are clean and crisp with no highlighting or writing detected. The cover is clean with minor shelf wear only. Ships from Canada. Satisfaction guaranteed with 30-day return policy. ; 7.5 X 0.75 X 9.25 inches; 280 pages; R0 1.7m/1.7m s0.

Seller Inventory # 13213

Bibliographic Details

• Title: Programming Massively Parallel Processors A Hands-On Approach
• Publisher: Morgan Kaufmann
• Publication Date: 2010
• Language: English
• ISBN 10: 0123814723
• ISBN 13: 9780123814722
• Binding: Softcover
• Condition: Very Good

About this title

Synopsis

Programming Massively Parallel Processors discusses 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.

This book describes computational thinking techniques that will enable students to think about problems in ways that are amenable to high-performance parallel computing. It utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments. Studies learn how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.

This book is recommended for advanced students, software engineers, programmers, and hardware engineers.

• Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing.
• Utilizes CUDA (Compute Unified Device Architecture), NVIDIA's software development tool created specifically for massively parallel environments.
• Shows you how to achieve both high-performance and high-reliability using the CUDA programming model as well as OpenCL.

About the Authors

David B. Kirk
is known for major
contributions to graphics,
hardware, and algorithms.
Before pursuing his Ph.D. at
Caltech, he earned B.S. and
M.S. degrees in mechanical
engineering from MIT and
worked at Raster Technologies
and Hewlett-Packard’s Apollo
Systems Division. After
completing his doctorate, he
served as chief scientist and
head of technology at Crystal
Dynamics. In 1997, he became
Chief Scientist at NVIDIA. Dr.
Kirk has received numerous
honors including the IEEE
Seymour Cray Computer
Engineering Award and
ACM SIGGRAPH Computer
Graphics Achievement
Award. He is a member of
the U.S. National Academy of
Engineering.

Wen-mei W. Hwu
is a Senior Director of
Research of NVIDIA and the
Sanders-AMD Endowed Chair
Professor Emeritus of Electrical
and Computer Engineering
at the University of Illinois
at Urbana-Champaign. His
work focuses on parallel
computing―covering
architecture, implementation,
compilers, and algorithms. Dr.
Hwu has received numerous
honors, including the ACM/
IEEE Eckert-Mauchly Award,
ACM Grace Murray Hopper
Award, IEEE B.R. Rau Award.
He is an IEEE and ACM
Fellow. He earned his Ph.D.
in Computer Science from UC
Berkele