GPU Computing Gems Emerald Edition

Nonfiction, Computers, Computer Hardware, Microprocessors, Advanced Computing, Parallel Processing, Science & Nature, Technology
Cover of the book GPU Computing Gems Emerald Edition by Wen-mei W. Hwu, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Wen-mei W. Hwu ISBN: 9780123849892
Publisher: Elsevier Science Publication: January 13, 2011
Imprint: Morgan Kaufmann Language: English
Author: Wen-mei W. Hwu
ISBN: 9780123849892
Publisher: Elsevier Science
Publication: January 13, 2011
Imprint: Morgan Kaufmann
Language: English

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:

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

More books from Elsevier Science

Cover of the book Informed and Healthy by Wen-mei W. Hwu
Cover of the book Textbook of Nephro-Endocrinology by Wen-mei W. Hwu
Cover of the book Supra-materials Nanoarchitectonics by Wen-mei W. Hwu
Cover of the book Safe Robot Navigation Among Moving and Steady Obstacles by Wen-mei W. Hwu
Cover of the book Gaseous Hydrogen Embrittlement of Materials in Energy Technologies by Wen-mei W. Hwu
Cover of the book Chemistry and Application of H-Phosphonates by Wen-mei W. Hwu
Cover of the book Culinary Nutrition by Wen-mei W. Hwu
Cover of the book Biofabrication by Wen-mei W. Hwu
Cover of the book Biotechnology in the Pulp and Paper Industry by Wen-mei W. Hwu
Cover of the book Healthcare Emergency Incident Management Operations Guide by Wen-mei W. Hwu
Cover of the book Advances in Applied Microbiology by Wen-mei W. Hwu
Cover of the book Materials by Wen-mei W. Hwu
Cover of the book Digital Microscopy by Wen-mei W. Hwu
Cover of the book The Natural History of an Arctic Oil Field by Wen-mei W. Hwu
Cover of the book Handbook of Income Distribution by Wen-mei W. Hwu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy