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Home > Computing and Information Technology > Computer networking and communications > Distributed systems > Gpu Computing Gems Emerald Edition: (Applications of Gpu Computing)
Gpu Computing Gems Emerald Edition: (Applications of Gpu Computing)

Gpu Computing Gems Emerald Edition: (Applications of Gpu Computing)


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About the Book

...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 CUDAGPU-accelerated computation and interactive display of molecular orbitalsTemporal data mining for neuroscienceGPU -based parallelization for fast circuit optimizationFast graph cuts for computer visionReal-time stereo on GPGPU using progressive multi-resolution adaptive windowsGPU image demosaicingTomographic image reconstruction from unordered lines with CUDAMedical 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

Review :
"Praise for GPU Computing Gems: Emerald Edition: " " GPU computing is becoming an outstanding field in high performance computing. Due to its easiness, the CUDA approach enables programmers to take advantage of GPU-acceleration very quickly My research in complex science as well as applications in high frequency trading benefited significantly from GPU computing.?--Dr. Tobias Preis, ETH Zurich, Switzerland" " This book is an important reference for everyone working on GPU/CUDA, and contains definitive work in a selection of fields. The patterns of CUDA parallelization it describes can often be adapted to applications in other fields.?--Dr. Ming Ouyang, Assistant Professor - Director Visualization and Intensive Graphics Lab, University of Louisville" " Diving into the world of GPU computing has never been more important these days. GPU Computing Gems: Emerald Edition takes you through the looking glass into this fascinating world.?--Martin Eisemann, Computer Graphics Lab, TU Braunschweig" " an outstanding collection of vignettes of how to program GPUs for a breathtaking range of applications.?--Dr. Amitabh Varshney, Director, Institute for Advanced Computer Studies, University of Maryland" ""The book features a useful index that might help readers mine the gems in search of a solution to a specific algorithmic problem. The index is accompanied by online resources containing source code samples-and further information-for some of the chapters. A second volume with another 30 chapters of GPGPU application reports, somewhat more focused on generic algorithms and programming techniques, is currently in the pipeline and scheduled to appear as the "Jade Edition" sometime this month."--Computing in Science and Engineering"


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Product Details
  • ISBN-13: 9780123849892
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Elsevier Science Publishing Co Inc
  • Language: English
  • Series Title: Applications of Gpu Computing
  • ISBN-10: 0123849896
  • Publisher Date: 14 May 2014
  • Binding: Digital (delivered electronically)
  • No of Pages: 889


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