NVIDIA explains how kernel fusion optimizes CUDA memory traffic and launch overhead

This article from NVIDIA's developer blog explains how kernel fusion can improve memory bandwidth and reduce kernel launch overhead in GPU code. It addresses the common bottleneck where fast GPU compute outpaces device memory, preventing kernels from being fully utilized.

The post details multiple ways to apply kernel fusion within NVIDIA CUDA code to optimize performance.

By fusing operations, developers can mitigate memory bottlenecks and improve overall efficiency in their GPU applications.