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GPU Computing Gems: Jade Edition

Wen-mei W. Hwu
University of Illinois
Morgan Kaufmann Pub, 2011
@article{giles2011editors,

   title={Editors, Reviewers, and Authors},

   author={Giles, M. and Tomov, S.},

   journal={GPU Computing Gems Jade Edition},

   year={2011},

   publisher={Morgan Kaufmann Pub}

}

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This is the second volume of Morgan Kaufmann’s GPU Computing Gems, offering an all-new set of insights, ideas, and practical ";hands-on"; skills from researchers and developers worldwide. Each chapter gives you a window into the work being performed across a variety of application domains, and the opportunity to witness the impact of parallel GPU computing on the efficiency of scientific research. GPU Computing Gems: Jade Edition showcases the latest research solutions with GPGPU and CUDA, including: Improving memory access patterns for cellular automata using CUDA; Large-scale gas turbine simulations on GPU clusters; Identifying and mitigating credit risk using large-scale economic capital simulations; GPU-powered MATLAB acceleration with Jacket; Biologically-inspired machine vision; An efficient CUDA algorithm for the maximum network flow problem; 30 more chapters of innovative GPU computing ideas, written to be accessible to researchers from any industry. GPU Computing Gems: Jade Edition contains 100% new material covering a variety of application domains: algorithms and data structures, engineering, interactive physics for games, computational finance, and programming tools.
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