One of the biggest developments in computer hardware in the last few years
has been the introduction of a new generation of Graphics Processing Units
(GPUs) with more power and flexibility than the CPU. Not only have GPUs
revolutionized graphics programming, now developers are starting to use them
wherever substantial processing power is required, for instance in financial and
medical applications. This use of GPUs for more general purposes is referred
to as General Purpose computation on GPUs(GPGPU).
GPU Gems 2 continues the format of the first edition, with forty six chapters
that detail cutting-edge programming techniques from some of the world's top
experts. It goes beyond the first volume, however, in presenting in book form
for the first time methods for GPGPU programming. This book offers the
reader comprehensive knowledge for harnessing the enormous capabilities of
modern GPUs. GPGPU has the potential to bring huge changes to the way
computers work and applications are written. (Rick Rashid of Microsoft
Research talked about GPGPU in his keynote at OOPSLA 2004.)
N.B. - the character on the cover is a mermaid named Nalu, and is the
current focus of NVIDIA's marketing campaigns. She will be immediately
recognizable to the target audience.
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Matt Pharr is a software engineer at NVIDIA. Matt is also the coauthor of the book Physically Based Rendering: From Theory to Implementation (Morgan Kaufmann, 2004).
Randima (Randy) Fernando is Manager of Developer Education at NVIDIA.
This sequel to the best-selling, first volume of GPU Gems details the latest programming techniques for today’s graphics processing units (GPUs). As GPUs find their way into mobile phones, handheld gaming devices, and consoles, GPU expertise is even more critical in today’s competitive environment. Real-time graphics programmers will discover the latest algorithms for creating advanced visual effects, strategies for managing complex scenes, and advanced image processing techniques. Readers will also learn new methods for using the substantial processing power of the GPU in other computationally intensive applications, such as scientific computing and finance. Twenty of the book’s forty-eight chapters are devoted to GPGPU programming, from basic concepts to advanced techniques. Written by experts in cutting-edge GPU programming, this book offers readers practical means to harness the enormous capabilities of GPUs.
Major topics covered include:
Contributors are from the following corporations and universities:
1C: Maddox Games
2015
Apple Computer
Armstrong State University
Climax Entertainment
Crytek
discreet
ETH Zurich
GRAVIR/IMAG―INRIA
GSC Game World
Lionhead Studios
Lund University
Massachusetts Institute of Technology
mental images
Microsoft Research
NVIDIA Corporation
Piranha Bytes
Siemens Corporate Research
Siemens Medical Solutions
Simutronics Corporation
Sony Pictures Imageworks
Stanford University
Stony Brook University
Technische Universität München
University of California, Davis
University of North Carolina at Chapel Hill
University of Potsdam
University of Tokyo
University of Toronto
University of Utah
University of Virginia
University of Waterloo
Vienna University of Technology
VRVis Research Center
Section editors include NVIDIA engineers: Kevin Bjorke, Cem Cebenoyan, Simon Green, Mark Harris, Craig Kolb, and Matthias Wloka
The accompanying CD-ROM includes complementary examples and sample programs.
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