Programming Massively Parallel Processors

By:   Wen-mei W. Hwu (CTO MulticoreWare and professor specializing in compiler design computer architecture microarchitecture and parallel processing University of Illinois at Urbana-Champaign USA), David B. Kirk (NVIDIA Fellow), Izzat El Hajj (Assistant Professor, Department of Computer Science, American University of Beirut, Lebanon)
Imprint:   Morgan Kaufmann Publishers In
Country of Publication:   United States
Edition:   5th edition
Dimensions:   Height: 235mm,  Width: 191mm, 
Weight:   450g
ISBN:   9780443439001
ISBN 10:   0443439001
Pages:   680
Publication Date:   02 June 2026
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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 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. Izzat El Hajj is an Assistant Professor of Computer Science at the American University of Beirut. His research focuses on leveraging accelerator architectures to tackle challenging computations, with a focus on GPU computing, processing-in-memory, and performance modeling. He earned his Ph.D. in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. He has received the Dan Vivoli Endowed Fellowship (UIUC) and the Distinguished Graduate Award from the American University of Beirut.