CUDA application design and development - Farber, Rob. (Waltham, MA : Morgan Kaufmann, 2011)
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.
Keywords: Application software -- Development; Computer architecture; Parallel programming (Computer science).