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    CUDA C++ Optimization: Coding Faster GPU Kernels

    Posted By: TiranaDok
    CUDA C++ Optimization: Coding Faster GPU Kernels

    CUDA C++ Optimization: Coding Faster GPU Kernels (Generative AI LLM Programming) by David Spuler
    English | October 14, 2024 | ISBN: N/A | ASIN: B0DJT5JKM9 | 233 pages | EPUB | 1.03 Mb

    Increase the efficiency of CUDA C++ kernels for AI and high-performance computing on the powerful NVIDIA GPUs. Leverage your GPU investment with the power of an efficient software layer.

    Main Topics
    - Speeding up CUDA C++ kernels
    - Parallelization and vectorization
    - Compute optimizations
    - Memory access optimizations

    Table of Contents:
    1. Parallel Programming
    2. Optimizing CUDA Programs
    3. Vectorization
    4. AI Kernel Optimization
    5. Profiling Tools
    6. Compilers and Optimizers
    7. Timing CUDA C++ Programs
    8. Memory Optimizations
    9. Coalescing and Striding
    10. Data Transfer Optimizations
    11. Heap Memory Allocation
    12. Compute Optimizations
    13. Warp Divergence
    14. Grid Optimizations
    15. Compile-Time Optimizations
    16. Arithmetic Optimizations
    17. Floating-Point Bit Tricks
    18. Advanced Techniques
    Appendix: CUDA C++ Slugs