[Download] CUDA C++ Optimization: Coding Faster GPU Kernels PDF EPUB
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CUDA C++ Optimization: Coding Faster GPU Kernels Summary
CUDA C++ Optimization: Coding Faster GPU Kernels is a beautiful novel written by David Spuler. The book was published on October 14, 2024 and is available in both PDF and EPUB formats. Below is the summary of “CUDA C++ Optimization: Coding Faster GPU Kernels by David Spuler”:
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 of1. 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 TechniquesCUDA C++ Slugs
Details About CUDA C++ Optimization: Coding Faster GPU Kernels by David Spuler
- Title: CUDA C++ Optimization: Coding Faster GPU Kernels
- Author: David Spuler
- Language: English
- Genres:
- Series:
- Published Date: October 14, 2024
- Status: Available for Download
- Formats: PDF/EPUB
- [EPUB] Filename: CUDA_C_Optimization_Coding_Faster_GPU_-_David_Spuler.epub
- [PDF] Filename: CUDA_C_Optimization_Coding_Faster_GPU_-_David_Spuler.pdf
- EPUB File Size: 1.03 MB
- PDF File Size: 1.64 MB
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