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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urn:oclc:record:1152989987 Foldoutcount 0 Identifier cudaapplicationd0000farb Identifier-ark ark:/13960/s28d4csmfzz Invoice 1652 Isbn 9780123884268
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