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Other titles in the Applications of Gpu Computing series:
Gpu Computing Gems Jade Edition (Applications of Gpu Computing)by Wen-mei W. Hwu.
Synopses & Reviews
This is the second volume of Morgan Kaufmann's GPU Computing Gems, offering an all-new set of insights, ideas, and practical "hands-on" skills from researchers and developers worldwide. Each chapter gives you a window into the work being performed across a variety of application domains, and the opportunity to witness the impact of parallel GPU computing on the efficiency of scientific research.
GPU Computing Gems: Jade Edition showcases the latest research solutions with GPGPU and CUDA, including:
Book News Annotation:
The series presents guides for researchers, engineers, students, and supercomputing professionals to graphics processing units (GPU), which have become ubiquitous in handhelds, laptops, desktops, and supercomputing clusters. People using the units in a wide range of fields end up solving similar algorithms, and these volumes are designed to share solutions--gems--across disciplinary and professional boundaries. The areas covered here are parallel algorithms and data structures, numerical algorithms, engineering simulations, interactive physics and artificial intelligence for games and engineering simulation, computational finance, and programming tools and techniques. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)
GPUs are designed to be parallel, having hundreds of cores versus traditional CPUs. Increasingly, GPU power can be leveraged for many computationally intense applications, not just for graphics. For developers facing the challenge of programming systems that effectively use massively parallel GPUs to achieve efficiency and performance goals, GPU Computing Gems provides a wealth of tested, proven GPU techniques. Each volume covers a carefully-selected subset of vertical domains where researchers depend upon general purpose GPU computing. These latest GPU techniques offer developers the opportunity to gain insights and apply others' algorithms to their own projects. GPU Computing Gems: Jade Edition covers the critical core areas of climate research, green (energy efficient) computing, finance, game development, data analysis, reusable libraries, and more.
GPU Computing Gems: Jade Edition offers scientists across industry domains access to the latest GPU computing research from top GPU developers worldwide. Each chapter includes practical techniques and the thinking behind them, in these critical core areas: Programming Tools and Libraries; Financial Modeling; Engineering Simulation; Environment Methodology; Interactive Physics Simulation and AI for Games and Entertainment; Numerical Algorithms; Parallel Algorithms; and Data Structures.
Graphics Processing Units (GPUs) are designed to be parallel - having hundreds of cores versus traditional CPUs. Increasingly, GPU power can be leveraged for many computationally-intense applications - not just for graphics. For developers facing the challenge of programming systems, 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. Each edition of GPU Computing Gems covers a carefully-selected subset of vertical domains representing the latest GPU techniques, offering developers the opportunity to gain insights from others' works and apply their algorithms to their own projects.
Offers hands-on, proven techniques for GPGPU from cutting-edge researchers and developers, and presented by NVIDIA, a leading GPU manufacturer. Each nugget contains a nugget of practical material, including code samples. Unlike more theoretical survey books, GPU Computing Gems provides students and professionals with insights and ideas as well as a 'hands on' skill that makes them highly employable.
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
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