CUDA application design and development (eBook, 2012) [WorldCat.org]
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CUDA application design and development

Author: Rob Farber
Publisher: Waltham, MA : Morgan Kaufmann, ©2012.
Series: Applications of GPU computing.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Farber, Rob.
CUDA application design and development.
Waltham, MA : Morgan Kaufmann, ©2012
(DLC) 2011038617
(OCoLC)731925404
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Rob Farber
ISBN: 9780123884268 0123884268 9780123884329 0123884322 1283299038 9781283299039 9786613299031 6613299030
OCLC Number: 760157354
Notes: Machine generated contents note: 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.
Description: 1 online resource.
Contents: 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.
Series Title: Applications of GPU computing.
Responsibility: Rob Farber.

Abstract:

As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU  Read more...

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The book by Rob Faber on CUDA Application Design and Development is required reading for anyone who wants to understand and efficiently program CUDA for scientific and visual programming. It provides Read more...

 
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