GPU Computing Gems Emerald Edition
Date: 10 May 2011 | Posted by: masterjan
Year: 2011
Author: Wen-mei W. Hwu
Jenre: GPU Programming
Publisher: Morgan Kaufmann
ISBN: 978-0123849885
Language: English
Format: PDF
Pages: 886
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
Product Description
".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 CUDA
GPU-accelerated computation and interactive display of molecular orbitals
Temporal data mining for neuroscience
GPU -based parallelization for fast circuit optimization
Fast graph cuts for computer vision
Real-time stereo on GPGPU using progressive multi-resolution adaptive windows
GPU image demosaicing
Tomographic image reconstruction from unordered lines with CUDA
Medical image processing using GPU -accelerated ITK image filters
41 more chapters of innovative GPU computing ideas, written to be accessible to researchers from any domain
GPU Computing Gems: Emerald Edition is the first volume in Morgan Kaufmann's Applications of GPU Computing Series, offering the latest insights and research in computer vision, electronic design automation, emerging data-intensive applications, life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, and video / image processing.
Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more
Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution
Offers insights and ideas as well as practical "hands-on" skills you can immediately put to use
Author: Wen-mei W. Hwu
Jenre: GPU Programming
Publisher: Morgan Kaufmann
ISBN: 978-0123849885
Language: English
Format: PDF
Pages: 886
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
Product Description
".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 CUDA
GPU-accelerated computation and interactive display of molecular orbitals
Temporal data mining for neuroscience
GPU -based parallelization for fast circuit optimization
Fast graph cuts for computer vision
Real-time stereo on GPGPU using progressive multi-resolution adaptive windows
GPU image demosaicing
Tomographic image reconstruction from unordered lines with CUDA
Medical image processing using GPU -accelerated ITK image filters
41 more chapters of innovative GPU computing ideas, written to be accessible to researchers from any domain
GPU Computing Gems: Emerald Edition is the first volume in Morgan Kaufmann's Applications of GPU Computing Series, offering the latest insights and research in computer vision, electronic design automation, emerging data-intensive applications, life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, and video / image processing.
Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more
Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution
Offers insights and ideas as well as practical "hands-on" skills you can immediately put to use
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