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GPU Computing Gems Emerald Edition,, Wen-mei W. Hwu


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Автор: Wen-mei W. Hwu
Название:  GPU Computing Gems Emerald Edition,
Перевод названия: Компьютерная обработка графики
ISBN: 9780123849885
Издательство: Elsevier Science
Классификация:


ISBN-10: 0123849888
Обложка/Формат: Hardback
Страницы: 886
Вес: 1.50 кг.
Дата издания: 21.03.2011
Язык: English
Размер: 236.00 x 193.00 x 38.00
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs) to enhance scientific research. The first volume in Morgan Kaufmanns Applications of GPU Computing Series, this book offers the latest insights and research in computer vision, electronic design automation, and emerging data-intensive applications. It also covers life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, video and image processing. This book is intended to help those who are facing the challenge of programming systems to effectively use GPUs to achieve efficiency and performance goals. It 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. Readers will 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. Many examples leverage NVIDIAs CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution. The insights and ideas as well as practical hands-on skills in the book can be immediately put to use. Computer programmers, software engineers, hardware engineers, and computer science students will find this volume a helpful resource. For useful source codes discussed throughout the book, the editors invite readers to the following website:


Advances in GPU Research and Practice

Автор: Azad, Hamid Sarbazi
Название: Advances in GPU Research and Practice
ISBN: 0128037385 ISBN-13(EAN): 9780128037386
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание: Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors.

GPU-based Parallel Implementation of Swarm Intelligence Algorithm

Автор: Ying Tan
Название: GPU-based Parallel Implementation of Swarm Intelligence Algorithm
ISBN: 0128093625 ISBN-13(EAN): 9780128093627
Издательство: Elsevier Science
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Цена: 13304.00 р.
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Описание: . GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone. . This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research.

Entertainment Computing - ICEC 2016

Автор: Wallner
Название: Entertainment Computing - ICEC 2016
ISBN: 3319460994 ISBN-13(EAN): 9783319460994
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book constitutes the refereed proceedings of the 15th InternationalConference on Entertainment Computing, ICEC 2016, held in Vienna, Austria, in September 2016. The 16 full papers, 13 short papers, and 2 posters presented were carefully reviewed and selected from 46 submissions.

GPU Programming in MATLAB

Автор: Ploskas, Nikolaos
Название: GPU Programming in MATLAB
ISBN: 0128051329 ISBN-13(EAN): 9780128051320
Издательство: Elsevier Science
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Цена: 7409.00 р.
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Описание:

GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development.


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