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    3. CUDA C++ Debugging: Safer GPU Kernel Programming

    CUDA C++ Debugging: Safer GPU Kernel Programming

    Posted By: TiranaDok
    Date: 4 May 2025 10:20:08
    CUDA C++ Debugging: Safer GPU Kernel Programming

    CUDA C++ Debugging: Safer GPU Kernel Programming (Generative AI LLM Programming) by David Spuler
    English | October 15, 2024 | ISBN: N/A | ASIN: B0DJJVDJBW | 238 pages | EPUB | 1.15 Mb

    This book covers CUDA C++ programming tools and techniques for safely running GPU kernels in the NVIDIA CUDA C++ environment, with coverage from beginner to advanced. Improve reliability without sacrificing performance and reduce development time by finding, fixing, and forgetting GPU coding errors.

    Main Topics:
    - Debugging techniques for CUDA C++ kernels
    - Safely run CUDA C++ kernels without losing speed
    - Common CUDA C++ bugs from beginner to advanced
    - CUDA tools for debugging and memory checking
    - Shaking out more bugs with self-testing code
    - Tolerating and recovering from errors
    - Prevention of bugs with resilient coding

    Table of Contents:
    Part I: Introduction
    1. CUDA Introduction
    2. Debugging Hello World
    3. CUDA for C++ Programmers
    4. CUDA Emulation
    5. Debugging Simple Kernels
    Part II: Debugging CUDA C++
    6. Debugging Strategies
    7. CUDA Debugging Tools
    8. Error Checking
    9. Sticky Errors
    10. GPU Kernel Debugging
    11. Basic CUDA C++ Bugs
    12. Advanced CUDA Bugs
    Part III: Advanced CUDA Debugging
    13. Self-Testing Code
    14. Assertions
    15. Debug Wrapper Functions
    16. Debug Tracing
    17. CUDA Portability
    Appendix: CUDA Puzzles

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