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    GPU Computing Gems (Applications of Gpu Computing) (Hardback) Editor-in-chief Wen-Mei W. Hwu

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    Description"...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) are designed to be parallel - having hundreds of cores versus traditional CPUs. Increasingly, you can leverage GPU power for many computationally-intense applications - not just for graphics. If you're facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, "GPU Computing Gems" provides a wealth of tested, proven GPU techniques. Different application domains often pose similar algorithm problems, and researchers from diverse application domains often develop similar algorithmic strategies. "GPU Computing Gems" offers developers a window into diverse application areas, and the opportunity to gain insights from others' algorithm work that they may apply to their own projects. Learn from the leading researchers in parallel programming, who have gathered their solutions and experience in one volume under the guidance of expert area editors. Each chapter is written to be accessible to researchers from other domains, allowing knowledge to cross-pollinate across the GPU spectrum. "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, video and image processing. It covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more. It includes many examples that leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution. It offers insights and ideas as well as practical 'hands-on' skills you can immediately put to use.

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  • Full bibliographic data for GPU Computing Gems

    GPU Computing Gems
    Authors and contributors
    Editor-in-chief Wen-Mei W. Hwu
    Physical properties
    Format: Hardback
    Number of pages: 886
    Width: 196 mm
    Height: 236 mm
    Thickness: 38 mm
    Weight: 1,406 g
    ISBN 13: 9780123849885
    ISBN 10: 0123849888

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    B&T Book Type: NF
    B&T Modifier: Region of Publication: 01
    B&T Modifier: Text Format: 02
    Warengruppen-Systematik des deutschen Buchhandels: 16320
    B&T Modifier: Academic Level: 02
    B&T Merchandise Category: POD
    B&T General Subject: 229
    B&T Modifier: Text Format: 01
    LC subject heading: ,
    Ingram Subject Code: XG
    BISAC V2.8: COM012000, COM000000
    BIC subject category V2: UKC
    LC subject heading:
    DC22: 006.6
    BISAC V2.8: COM059000
    LC subject heading:
    BISAC V2.8: COM011000, COM048000
    DC22: 006.66
    BISAC V2.8: COM051220
    LC classification: T385 .G6875 2011
    LC subject heading: , ,
    BIC subject category V2: UML
    Thema V1.0: TJF, UG, UYFP, UTR, UML
    Imprint name
    Morgan Kaufmann Publishers In
    Publication date
    21 March 2011
    Publication City/Country
    San Francisco
    Author Information
    Wen-mei Hwu: CTO of MulticoreWare, and is a professor at University of Illinois at Urbana-Champaign specializing in compiler design, computer architecture, computer microarchitecture, and parallel processing. He currently holds the Walter J. ("Jerry") Sanders III-Advanced Micro Devices Endowed Chair in Electrical and Computer Engineering in the Coordinated Science Laboratory. He is a PI for the petascale Blue Waters system, is co-director of the Intel and Microsoft funded Universal Parallel Computing Research Center (UPCRC), and PI for the world's first NVIDIA CUDA Center of Excellence. At the Illinois Coordinated Science Lab, Dr. Hwu leads the IMPACT Research Group and is director of the OpenIMPACT project - which has delivered new compiler and computer architecture technologies to the computer industry since 1987. He previously edited GPU Computing Gems, a similar work focusing on NVIDIA CUDA.
    Review quote
    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
    Table of contents
    Scientific Simulation Life Sciences Statistical Modeling Emerging Data-Intensive Applications Electronic Design Automation Ray Tracing and Rendering Computer Vision Video and Image Processing Signal and Audio Processing Medical Imaging