Kernel Fusion in NVIDIA CUDA: Optimizing Memory Traffic and Launch Overhead | NVIDIA Technical Blog

This post details how kernel fusion can improve memory bandwidth and reduce kernel launch overhead by combining multiple GPU operations into a single device kernel. It provides examples of manual kernel fusion in CUDA C++ and implicit kernel fusion using PyTorch's `torch.compile`, demonstrating performance improvements and reduced memory traffic.