CUDA application design and development /

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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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Farber, Rob
Format: Electronic eBook
Language:Inglés
Published: Waltham, MA : Morgan Kaufmann, �2012.
Series:Applications of GPU computing.
Subjects:
Application software > Development.
Computer architecture.
Parallel programming (Computer science)
Logiciels d'application > D�eveloppement.
Ordinateurs > Architecture.
Programmation parall�ele (Informatique)
COMPUTERS > Software Development & Engineering > Project Management.
Application software > Development
Computer architecture
Online Access:Texto completo
Table of 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.

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