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Gpu Computing Gems Emerald Edition 1st Edition Wenmei W Hwu

  • SKU: BELL-2216636
Gpu Computing Gems Emerald Edition 1st Edition Wenmei W Hwu
$ 31.00 $ 45.00 (-31%)

5.0

28 reviews

Gpu Computing Gems Emerald Edition 1st Edition Wenmei W Hwu instant download after payment.

Publisher: Elsevier
File Extension: PDF
File size: 20.17 MB
Pages: 889
Author: Wen-mei W. Hwu
ISBN: 0123849888
Language: English
Year: 2011
Edition: 1

Product desciption

Gpu Computing Gems Emerald Edition 1st Edition Wenmei W Hwu by Wen-mei W. Hwu 0123849888 instant download after payment.

"...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 moreMany examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solutionOffers insights and ideas as well as practical "hands-on" skills you can immediately put to use

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