GPU Computing Gems Emerald Edition (Applications of GPU Computing Series)

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Management number 233491347 Release Date 2026/06/27 List Price $19.62 Model Number 233491347
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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 Kaufmann's 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 NVIDIA's 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: …"- 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 Read more

ASIN B004MPRDUO
XRay Not Enabled
ISBN13 978-0123849892
Edition 1st
Language English
File size 19.5 MB
Page Flip Enabled
Publisher Morgan Kaufmann
Word Wise Not Enabled
Print length 886 pages
Accessibility Learn more
Part of series Applications of GPU Computing Series
Publication date January 13, 2011
Enhanced typesetting Enabled

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