CUDA application design and development
Farber, Rob
creator
text
mau
Waltham, MA
Morgan Kaufmann
2011
monographic
eng
xvii, 315 p. : ill. ; 24 cm.
specialized
Rob Farber
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 refrences and index
Application software
Development
Computer architecture
Parallel programming (Computer science)
Applications of GPU computing
9780123884268 (pbk.)
0123884268 (pbk.)
UMP
121127
20251125093456.0
vtls000066932