finelybook
Programming Massively Parallel Processors: A Hands-on Approach 5th Edition
Author(s): Wen-mei W. Hwu (Author), David B. Kirk (Author), Izzat El Hajj (Author)
- Publisher Finelybook 出版社: Morgan Kaufmann
- Publication Date 出版日期: June 17, 2026
- Edition 版本: 5th
- Language 语言: English
- Print length 页数: 680 pages
- ISBN-10: 0443439001
- ISBN-13: 9780443439001
Book Description
- Expanded optimization checklist with a more comprehensive demonstration of essential optimizations across patterns
- New pattern and application chapters including: filtering, wavefront parallelism, advanced optimizations for matrix multiplication, and large language models (LLMs)
- More coverage of important CUDA features including warp-level programming, cooperative groups, CUDA C++ atomics, and multi-GPU programming with NCCL and NVSHMEM
Editorial Reviews
About the Author
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.
