GPU Computing Gems Emerald Edition (Applications of GPU Computing Series) - Tapa dura

Acerca del autor

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

De la contraportada

Practical techniques straight from the leading minds in general purpose GPU research.

Graphics Processing Units (GPUs) are designed to be parallel having hundreds of cores versus traditional CPUs. Increasingly, you can leverage GPU power for any computationally-intense operation not just for graphics. If you're facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, GPU Computing Gems provides a wealth of tested, proven GPU techniques. Learn from the leading researchers in concurrent programming, who have gathered their insights and experience in one volume under the guidance of NVIDIA and GPU expert Wen-mei Hwu.

Features

• Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more
• Many examples utilize NVIDIA Compute Unified Device Architecture (CUDA), the most widely-adopted GPU programming tool
• Offers insights and ideas as well as practical "hands-on" skills you can immediately put to use

About the Editor-in-Chief

Wen-Mei Hwu Co-author of Programming Massively Parallel Processors and 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