GPU Computing Gems: Emerald Edition

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9780123849885: GPU Computing Gems: Emerald Edition

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

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Wen-mei W. Hwu
ISBN 10: 0123849888 ISBN 13: 9780123849885
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Descrizione libro Condizione libro: New. New Book. Codice libro della libreria 0123849888SBK

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Descrizione libro Condizione libro: New. Depending on your location, this item may ship from the US or UK. Codice libro della libreria 97801238498850000000

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Descrizione libro ELSEVIER SCIENCE TECHNOLOGY, United States, 2011. Hardback. Condizione libro: New. 236 x 196 mm. Language: English . Brand New 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 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 more* Many examples leverage NVIDIA s CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution* Offers insights and ideas as well as practical hands-on skills you can immediately put to use. Codice libro della libreria AA59780123849885

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Wen-mei W. Hwu
Editore: ELSEVIER SCIENCE TECHNOLOGY, United States (2011)
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Descrizione libro ELSEVIER SCIENCE TECHNOLOGY, United States, 2011. Hardback. Condizione libro: New. 236 x 196 mm. Language: English . Brand New 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 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 more* Many examples leverage NVIDIA s CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution* Offers insights and ideas as well as practical hands-on skills you can immediately put to use. Codice libro della libreria AA59780123849885

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Editore: Morgan Kaufmann 2011-03-21 (2011)
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Descrizione libro Morgan Kaufmann 2011-03-21, 2011. Condizione libro: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Codice libro della libreria NU-BER-00020788

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Descrizione libro Burlington, Morgan Kaufmann, 2011. Hardcover. Condizione libro: Neu. Ohne Schutzumschlag. 1. Auflage. XX, 865 pages with many b/w-illustrations. Codice libro della libreria 2016-007736

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Descrizione libro Morgan Kaufmann, 2011. Condizione libro: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 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 " The book is an excellent selection of important papers describing various applications of GPUs. As such, I believe it would be a valuable addition to the bookshelf of any researcher in modeling and simulation.This is not a substitute for a more detailed text on massively parallel programming.Instead, it is a nice practical addition to that text."-- Computing Reviews, August 2012. Codice libro della libreria ABE_book_new_0123849888

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Editore: Elsevier Science & Technology (2011)
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Descrizione libro Elsevier Science & Technology, 2011. Condizione libro: New. 2011. 1st Edition. Hardcover. . . . . . . Codice libro della libreria V9780123849885

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Descrizione libro Paperback. Condizione libro: New. Not Signed; .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 t. book. Codice libro della libreria ria9780123849885_rkm

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Editore: Elsevier Science & Technology 2011-03-09, San Francisco (2011)
ISBN 10: 0123849888 ISBN 13: 9780123849885
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Descrizione libro Elsevier Science & Technology 2011-03-09, San Francisco, 2011. hardback. Condizione libro: New. Codice libro della libreria 9780123849885

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