Download CUDA C++ Optimization: Coding Faster GPU Kernels (Generative AI LLM Programming) PDF Free - Full Version
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About CUDA C++ Optimization: Coding Faster GPU Kernels (Generative AI LLM Programming)
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 optimizationsTable of 1. Parallel Programming2. Optimizing CUDA Programs3. Vectorization4. AI Kernel Optimization5. Profiling Tools6. Compilers and Optimizers7. Timing CUDA C++ Programs8. Memory Optimizations9. Coalescing and Striding10. Data Transfer Optimizations11. Heap Memory Allocation12. Compute Optimizations13. Warp Divergence14. Grid Optimizations15. Compile-Time Optimizations16. Arithmetic Optimizations17. Floating-Point Bit Tricks18. Advanced Techniques CUDA C++ Slugs
Detailed Information
| Author: | David Spuler |
|---|---|
| Publication Year: | 2024 |
| Language: | English |
| File Size: | 1.7 |
| Format: | |
| Price: | FREE |
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