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CUDA application design and developm...
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Farber, Rob.
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CUDA application design and development /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
CUDA application design and development // Rob Farber.
作者:
Farber, Rob.
出版者:
Waltham, MA :Morgan Kaufmann, : c2011.,
面頁冊數:
xvii, 315 p. :ill. ;24 cm.
附註:
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.
標題:
Application software - Development. -
ISBN:
9780123884268 (pbk.) :
CUDA application design and development /
Farber, Rob.
CUDA application design and development /
Rob Farber. - Waltham, MA :Morgan Kaufmann,c2011. - xvii, 315 p. :ill. ;24 cm. - Applications of GPU computing series.. - Applications of GPU computing..
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.
Includes bibliographical references and index.
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. It starts with an introduction to parallel computing concepts.
ISBN: 9780123884268 (pbk.) :US49.95
LCCN: 2011038617Subjects--Topical Terms:
539563
Application software
--Development.
LC Class. No.: QA76.76.A65 / F37 2011
Dewey Class. No.: 005.3
CUDA application design and development /
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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.
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