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GPU Computing Gems, Emerald Edition (Applications of Gpu Computing)

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GPU Computing Gems, Emerald Edition (Applications of Gpu Computing) Cover

 

Synopses & Reviews

Publisher Comments:

...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) are designed to be parallel - having hundreds of cores versus traditional CPUs. Increasingly, you can leverage GPU power for many computationally-intense applications - not just for graphics. If you're facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, GPU Computing Gems provides a wealth of tested, proven GPU techniques.

Different application domains often pose similar algorithm problems, and researchers from diverse application domains often develop similar algorithmic strategies. GPU Computing Gems offers developers a window into diverse application areas, and the opportunity to gain insights from others' algorithm work that they may apply to their own projects.

Learn from the leading researchers in parallel programming, who have gathered their solutions and experience in one volume under the guidance of expert area editors. Each chapter is written to be accessible to researchers from other domains, allowing knowledge to cross-pollinate across the GPU spectrum.

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, video and 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

Book News Annotation:

This collection of fifty articles on parallel programming showcases state-of-the-art, highly advanced research in a variety of computing fields demonstrating the exponential speed and efficiency gains realized by harnessing the processing power of the Graphics Processing Unit (GPU). Papers are divided into sections, grouped by application, covering scientific simulation, life sciences, statistical modeling, emerging data-intensive applications, electronic design automation, ray tracing and rendering, computer vision, video and image processing, signal and audio and medical imaging. Works include extensive code examples, tables, equations and illustrations. Contributors are academics and industry experts from a variety of institutions around the world and this volume is an official publication of Nvidia, one of the world's premier GPU manufactures. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

"...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

Synopsis:

Graphics Processing Units (GPUs) are designed to be parallel - having hundreds of cores versus traditional CPUs. Increasingly, you can leverage GPU power for any computationally-intense operation - not just for graphics. If you're facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, GPU Computing Gems provides a wealth of tested, proven GPU techniques. Learn from the leading researchers in concurrent programming, who have gathered their insights and experience in one volume under the guidance of NVIDIA and GPU expert Wen-mei Hwu.

Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more

Many examples utilize NVIDIA's CUDA parallel computing architecture, the most widely-adopted GPU programming tool

Offers insights and ideas as well as practical hands-on skills you can immediately put to use

About the Author

Wen-mei W. Hwu is the Walter J. ("Jerry") Sanders III-Advanced Micro Devices Endowed Chair in Electrical and Computer Engineering in the Coordinated Science Laboratory of the University of Illinois at Urbana-Champaign. From 1997 to 1999, Dr. Hwu served as the chairman of the Computer Engineering Program at the University of Illinois. Dr. Hwu received his Ph.D. degree in Computer Science from the University of California, Berkeley. His research interests are in the areas of architecture, implementation, and software for high-performance computer systems. He is the director of the OpenIMPACT project, which has delivered new compiler and computer architecture technologies to the computer industry since 1987. He also serves as the Soft Systems Theme leader of the MARCO/DARPA Gigascale Silicon Research Center (GSRC) and on the Executive Committees of both the GSRC and the MARCO/DARPA Center for Circuit and System Solutions. For his contributions to the areas of compiler optimization and computer architecture, he received the 1993 Eta Kappa Nu Outstanding Young Electrical Engineer Award, the 1994 Xerox Award for Faculty Research, the 1994 University Scholar Award of the University of Illinois, the 1997 Eta Kappa Nu Holmes MacDonald Outstanding Teaching Award, the 1998 ACM SigArch Maurice Wilkes Award, the 1999 ACM Grace Murray Hopper Award, the 2001 Tau Beta Pi Daniel C. Drucker Eminent Faculty Award. He served as the Franklin Woeltge Distinguished Professor of Electrical and Computer Engineering from 2000 to 2004. He is a fellow of IEEE and ACM.

Professor, University of Illinois

Table 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

Product Details

ISBN:
9780123849885
Author:
Hwu, Wen-mei W.
Publisher:
Morgan Kaufmann Publishers
Author:
Hwu, Wen-Mei W.
Subject:
General Computers
Subject:
Computer Architecture - General
Series:
Applications of GPU Computing Series
Publication Date:
20110231
Binding:
HARDCOVER
Language:
English
Pages:
886
Dimensions:
9.45 x 7.75 in

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Related Subjects

Computers and Internet » Computer Architecture » General
Computers and Internet » Computer Architecture » Parallel
Computers and Internet » Computers Reference » General
Computers and Internet » Graphics » Programming
Computers and Internet » Operating Systems » General
Computers and Internet » Software Engineering » Game Design
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Science and Mathematics » Biology » Microbiology
Science and Mathematics » Botany » General
Science and Mathematics » Geology » General

GPU Computing Gems, Emerald Edition (Applications of Gpu Computing) New Hardcover
0 stars - 0 reviews
$86.75 In Stock
Product details 886 pages Morgan Kaufmann Publishers - English 9780123849885 Reviews:
"Synopsis" by , "...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

"Synopsis" by , Graphics Processing Units (GPUs) are designed to be parallel - having hundreds of cores versus traditional CPUs. Increasingly, you can leverage GPU power for any computationally-intense operation - not just for graphics. If you're facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, GPU Computing Gems provides a wealth of tested, proven GPU techniques. Learn from the leading researchers in concurrent programming, who have gathered their insights and experience in one volume under the guidance of NVIDIA and GPU expert Wen-mei Hwu.

Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more

Many examples utilize NVIDIA's CUDA parallel computing architecture, the most widely-adopted GPU programming tool

Offers insights and ideas as well as practical hands-on skills you can immediately put to use

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