CUDA Optimization for Deep Learning
CUDA
C++
PyTorch
Triton
Custom CUDA kernels and optimization techniques for deep learning operations. This project showcases various GPU optimization strategies and their impact on training speed.
Features
- Custom CUDA kernels for attention mechanisms
- Memory access optimization patterns
- Parallel reduction implementations
- Integration with PyTorch’s autograd