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Graphics Processing Units (GPUs) are designed to be parallel - having hundreds of cores versus traditional CPUs. If you're facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, this title provides numerous tested, proven GPU techniques.
List of contents
1. Scientific Simulation
2. Life Sciences
3. Statistical Modeling
4. Emerging Data-Intensive Applications
5. Electronic Design Automation
6. Ray Tracing and Rendering
7. Computer Vision
8. Video and Image Processing
9. Signal and Audio Processing
10. Medical Imaging
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Praise for GPU Computing Gems: Emerald Edition:
"GPU computing is becoming an outstanding field in high performance computing. Due to its easiness, the CUDA approach enables programmers to take advantage of GPU-acceleration very quickly. My research in complex science as well as applications in high frequency trading benefited significantly from GPU computing." --Dr. Tobias Preis, ETH Zurich, Switzerland
"This book is an important reference for everyone working on GPU/CUDA, and contains definitive work in a selection of fields. The patterns of CUDA parallelization it describes can often be adapted to applications in other fields." --Dr. Ming Ouyang, Assistant Professor - Director Visualization and Intensive Graphics Lab, University of Louisville
"Diving into the world of GPU computing has never been more important these days. GPU Computing Gems: Emerald Edition takes you through the looking glass into this fascinating world." --Martin Eisemann, Computer Graphics Lab, TU Braunschweig
".an outstanding collection of vignettes of how to program GPUs for a breathtaking range of applications." --Dr. Amitabh Varshney, Director, Institute for Advanced Computer Studies, University of Maryland
"The book features a useful index that might help readers mine the gems in search of a solution to a specific algorithmic problem. The index is accompanied by online resources containing source code samples-and further information-for some of the chapters. A second volume with another 30 chapters of GPGPU application reports, somewhat more focused on generic algorithms and programming techniques, is currently in the pipeline and scheduled to appear as the "Jade Edition" sometime this month." --Computing in Science and Engineering
"The book is an excellent selection of important papers describing various applications of GPUs. As such, I believe it would be a valuable addition to the bookshelf of any researcher in modeling and simulation.This is not a substitute for a more detailed text on massively parallel programming...Instead, it is a nice practical addition to that text." --Computing Reviews, August 2012
"...the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk." -Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010
