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GPU Computing Gems Emerald Edition.

Author: Wen-mei W Hwu
Publisher: Burlington : Elsevier Science, 2011.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
". 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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Hwu, Wen-mei W.
GPU Computing Gems Emerald Edition.
Burlington : Elsevier Science, ©2011
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Wen-mei W Hwu
ISBN: 9780123849892 0123849896
OCLC Number: 711745453
Description: 1 online resource (889 pages)
Contents: Front Cover; GPU Computing Gems; Copyright; Table of Contents; Editors, Reviewers, and Authors; Introduction; Section 1: Scientific Simulation; Section 2: Life Sciences; Section 3: Statistical Modeling; Section 4: Emerging Data-Intensive Applications; Section 5: Electronic Design Automation; Section 6: Ray Tracing and Rendering; Section 7: Computer Vision; Section 8: Video and Image Processing; Section 9: Signal and Audio Processing; Section 10: Medical Imaging; Index.

Abstract:

". 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.

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