Programming Techniques, Tips and Tricks for Real-Time Graphics
Book Details:
Pages: | 816 |
Published: | Apr 01 2004 |
Posted: | Nov 19 2014 |
Language: | English |
Book format: | DJVU |
Book size: | 13.93 MB |
Book Description:
"This collection of articles is particularly impressive for its depth and breadth. The book includes product-oriented case studies, previously unpublished state-of-the-art research, comprehensive tutorials, and extensive code samples and demos throughout." --Eric Haines, Author of Real-Time Rendering"GPU Gems is a cool toolbox of advanced graphics techniques. Novice programmers and graphics gurus alike will find the Gems practical, intriguing and useful." --Tim Sweeney, Lead Programmer of Unreal at Epic GamesGPU Gems is a compilation of articles covering practical real-time graphics techniques arising from the research and practice of cutting edge developers. It focuses on the programmable graphics pipeline available in today's graphics processing units (GPUs) and highlights quick and dirty tricks used by leading developers, as well as fundamental, performance-conscious techniques for creating advanced visual effects. The contributors and editors, collectively, bring countless years of experience to enlighten and propel the reader into the fascinating world of programmable real-time graphics.Major topics covered include: Natural effects Lighting and shadows Materials Image processing Performance and practicalities Beyond trianglesContributors are from the following universities and corporations: Alias Systems Brown University Croteam Cyan Worlds Hochschule Bremen Industrial Light Magic iXBT.com Monolith Productions New York University Novarama NVIDIA Paralelo Computacao Piranha Bytes Pixar Animation Studios Siemens Medical Solutions Softimage Co. Softlab-NSK Sony Pictures Imageworks Stanford University UC Davis UNC-Chapel Hill Universitat Pompeu Fabra University of Utah University of WaterlooThe accompanying CD-ROM includes complimentary examples and sample programs.
Programming Techniques for High-Performance Graphics and General-Purpose Computation
One of the biggest developments in computer hardware in the last few yearshas been the introduction of a new generation of Graphics Processing Units(GPUs) with more power and flexibility than the CPU. Not only have GPUsrevolutionized graphics programming, now developers are starting
to use themwherever substantial processing power is required, for instance in financial andmedical applications. This use of GPUs for more general purposes is referredto as General Purpose computation on GPUs(GPGPU).GPU Gems 2 continues the format of the first edition, with forty six chaptersthat detail cutting-edge programming techniques from some of the world's topexperts. It goes beyond the first volume, however, in presenting in book formfor the first time methods fo...
'The GPU Gems series features a collection of the most essential algorithms required by Next-Generation 3D Engines.Martin Mittring, Lead Graphics Programmer, CrytekThis 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 detectionparticularly 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, an...
Emerald Edition
"...the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk." -Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010 Graphics processing units (GPUs) can do much more than render graphics. Scientists and researchers increasingly look to GPUs to improve the efficiency and performance of computationally-intensive experiments across a range of disciplines. GPU Computing Gems: Emerald Edition brings their techniques to you, showcasing GPU-based solutions including: Black hole simulations with CUDAGPU-accelerated computation and interactive display of molecular orbitalsTemporal data mining for neuroscienceGPU -based parallelization for fast circuit optimizationFast graph cuts for computer v...
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