| Shopping Cart : |
0 items ( $0.00 ) |
| Shopping Cart : |
0 items ( $0.00 ) |
In order to get more accurate results, our search has the following Google-Type search functionality:
If you use '+' in front of a word, then that word will be present in the search results.
ex: Harry +Potter will return results with the word 'Potter'.
If you use '-' in front of a word, then that word will be absent in the search results.
ex: Harry -Potter will return results without the word 'Potter'.
If you use 'AND' between two words, then both of those words will be present in the search results.
ex: Harry AND Potter will return results with both 'Harry' and 'Potter'.
If you use 'OR' between two words, then bth of those words may or may not be present in the search results.
ex: Harry OR Potter will return results with just 'Harry', results with just 'Potter' and results with both 'Harry' and 'Potter'.
If you use 'NOT' before a word, then that word will be absent in the search results.
ex: Harry NOT Potter will return results without the word 'Potter'.
Placing '""' around words will perform a phrase search. The search results will contain those words in that order.
ex: "Harry Potter" will return any results with 'Harry Potter' in them, but not 'Potter Harry'.
Using '*' in a word will perform a wildcard search. The '*' signifies any number of characters. Searches can not start with a wildcard.
ex: Pot*er will return results with words starting with 'Pot' and ending in 'er'. In this case, 'Potter' will be a match.
|
|
|||
|
|
||||
OverviewThis 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: Improving memory access patterns for cellular automata using CUDA; Large-scale gas turbine simulations on GPU clusters; Identifying and mitigating credit risk using large-scale economic capital simulations; GPU-powered MATLAB acceleration with Jacket; Biologically-inspired machine vision; An efficient CUDA algorithm for the maximum network flow problem; and, 30 more chapters of innovative GPU computing ideas, written to be accessible to researchers from any industry. GPU Computing Gems: Jade Edition contains 100 per cent new material covering a variety of application domains: algorithms and data structures, engineering, interactive physics for games, computational finance, and programming tools. This second volume of GPU Computing Gems offers 100 per cent new material of interest across industry, including finance, medicine, imaging, engineering, gaming, environmental science, green computing, and more. It covers new tools and frameworks for productive GPU computing application development and offers immediate benefit to researchers developing improved programming environments for GPUs. There are even more hands-on, proven techniques demonstrating how general purpose GPU computing is changing scientific research. It distills the best practices of the community of CUDA programmers; each chapter provides insights and ideas as well as 'hands on' skills applicable to a variety of fields. Full Product DetailsAuthor: Wen-mei W. HwuPublisher: Elsevier Science & Technology Imprint: Morgan Kaufmann Publishers In Country of Publication: United States Edition: Jade ed Dimensions: Width: 19.70cm , Height: 4.10cm , Length: 24.00cm Weight: 1.352kg ISBN: 9780123859631ISBN 10: 0123859638 Pages: 560 Publication Date: 02 November 2011 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Available  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. Table of ContentsReviewsIt wasn't until recently that parallel [GPU] computing made people realize that there are whole areas in computing science that we can tackle. . When you can do something 10 or 100 times faster, something magical happens and you can do something completely different. -Jen-Hsun Huang, CEO, NVIDIA It wasn't until recently that parallel [GPU] computing made people realize that there are whole areas in computing science that we can tackle. . When you can do something 10 or 100 times faster, something magical happens and you can do something completely different. -Jen-Hsun Huang, CEO, NVIDIA It wasn't until recently that parallel [GPU] computing made people realize that there are whole areas in computing science that we can tackle. . When you can do something 10 or 100 times faster, something magical happens and you can do something completely different. -Jen-Hsun Huang, CEO, NVIDIA Even those readers whose problem is not directly addressed will learn specific useful techniques by studying the adaptations needed for algorithms in other domains with which they do have familiarity. - John West, insideHPC Author InformationWen-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. Tab Content 6Author Website:Countries AvailableAll regions |
||||
