GPU Computing Gems Emerald Edition GPU Computing Gems Emerald Edition

GPU Computing Gems Emerald Edition

    • $87.99
    • $87.99

Publisher Description

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

GENRE
Computers & Internet
RELEASED
2011
January 13
LANGUAGE
EN
English
LENGTH
886
Pages
PUBLISHER
Elsevier Science
SELLER
Elsevier Ltd.
SIZE
32.4
MB

More Books Like This

GPU Solutions to Multi-scale Problems in Science and Engineering GPU Solutions to Multi-scale Problems in Science and Engineering
2013
High Performance Computing for Computational Science -- VECPAR 2010 High Performance Computing for Computational Science -- VECPAR 2010
2011
Reconfigurable Computing: Architectures, Tools, and Applications Reconfigurable Computing: Architectures, Tools, and Applications
2008
High Performance Computing for Computational Science – VECPAR 2018 High Performance Computing for Computational Science – VECPAR 2018
2019
Parallel Processing and Applied Mathematics Parallel Processing and Applied Mathematics
2016
High Performance Computing for Computational Science -- VECPAR 2014 High Performance Computing for Computational Science -- VECPAR 2014
2015

More Books by Wen-mei W. Hwu

Programming Massively Parallel Processors (Enhanced Edition) Programming Massively Parallel Processors (Enhanced Edition)
2016
Heterogeneous System Architecture Heterogeneous System Architecture
2015
Programming Massively Parallel Processors Programming Massively Parallel Processors
2010
Programming Massively Parallel Processors Programming Massively Parallel Processors
2012
GPU Computing Gems Jade Edition (Enhanced Edition) GPU Computing Gems Jade Edition (Enhanced Edition)
2011