GPU Gems 3

by Hubert Nguyen (Editor)

“The GPU Gems series features a collection of the most essential algorithms required by Next-Generation 3D Engines.”
—Martin Mittring, Lead Graphics Programmer, Crytek This third volume of the best-selling GPU Gems series provides a snapshot of today’s latest Graphics Processing Unit (GPU) programming techniques. The programmability of modern GPUs allows developers to not only distinguish themselves from one another but also to use this awesome processing power for non-graphics applications, such as physics simulation, financial analysis, and even virus detection—particularly with the CUDA architecture. Graphics remains the leading application for GPUs, and readers will find that the latest algorithms create ultra-realistic characters, better lighting, and post-rendering compositing effects. Major topics include Contributors are from the following corporations and 3Dfacto
Adobe Systems
Apple
Budapest University of Technology and Economics
CGGVeritas
The Chinese University of Hong Kong
Cornell University
Crytek
Czech Technical University in Prague
Dartmouth College
Digital Illusions Creative Entertainment
Eindhoven University of Technology
Electronic Arts
Havok
Helsinki University of Technology
Imperial College London
Infinity Ward
Juniper Networks
LaBRI–INRIA, University of Bordeaux
mental images
Microsoft Research
Move Interactive
NCsoft Corporation
NVIDIA Corporation
Perpetual Entertainment
Playlogic Game Factory
Polytime
Rainbow Studios
SEGA Corporation
UFRGS (Brazil)
Ulm University
University of California, Davis
University of Central Florida
University of Copenhagen
University of Girona
University of Illinois at Urbana-Champaign
University of North Carolina Chapel Hill
University of Tokyo
University of Waterloo
Section Editors include NVIDIA Cyril Zeller, Evan Hart, Ignacio Castaño, Kevin Bjorke, Kevin Myers, and Nolan Goodnight. The accompanying DVD includes complementary examples and sample programs.

Genres: Computer Science

942 pages, Hardcover

First published August 2, 2007

Reviews

[Nick Black]

Freely available online at http://developer.nvidia.com/object/gp.... Going through this since I've been doing so much GPU-offloading of multibody simulation code recently, and the project I'm starting regarding red blood cell flow will make extensive use of Tesla supercomputers.