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- Title GPU Gems 3
- Author(s) Hubert Nguyen
- Publisher: Addison-Wesley Professional (August 12, 2007)
- Hardcover 1008 pages
- eBook Online
- Language: English
- ISBN-10: 0321515269
- ISBN-13:978-0321515261
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The GPU Gems series features a collection of the most essential algorithms required by Next-Generation 3D Engines.
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
- Geometry
- Light and Shadows
- Rendering
- Image Effects
- Physics Simulation
- GPU Computing
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Hubert Nguyen, Manager of Developer Education at NVIDIA, is a graphics engineer who worked in the NVIDIA Demo Team before moving to his current position. His work is featured on the covers of GPU Gems (Addison-Wesley, 2004) and GPU Gems 2 (Addison-Wesley, 2006).
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GPU Gems 2: Programming for High-Performance Graphics
This sequel to the best-selling, first volume of GPU Gems details the latest programming techniques for today's graphics processing units (GPUs).
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GPU Gems: Techniques, Tips and Tricks for Real-Time Graphics
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.
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CUDA Succinctly (Chris Rose)
This book discusses CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness.
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The Cg Tutorial: The Guide to Programmable Real-Time Graphics
Cg (C for graphics) is a complete programming environment for the fast creation of special effects and real-time cinematic quality experiences. This book explains how to implement both basic and advanced techniques for today's programmable GPU architectures.
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BIG CPU, BIG DATA: Solving the World's Toughest Problems
This book teaches you how to write parallel programs for multicore machines, compute clusters, GPU accelerators, and big data map-reduce jobs, in the Java language, with the free, easy-to-use, object-oriented Parallel Java 2 Library.
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Parallel Programming with CUDA: Architecture, Analysis, Application
This book offers a detailed guide to CUDA with a grounding in parallel fundamentals. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a High-Performance Computing (HPC) facility.
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Programming on Parallel Machines: GPU, Multicore, Clusters, etc.
The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs.
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CUDA Tutorial (Putt Sakdhnagool)
This book introduces the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code, assumes no specialized background in GPU-based or parallel computing.
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