In Part 4 of this introduction, we saw that the performance of our convolution kernel is limited by memory bandwidth. We are going to see how to improve performance by using shared memory.

In this part, we will learn how to profile a CUDA kernel using both nvprof and nvvp, the Visual Profiler. We will use the convolution kernel from Part 3, and discover thanks to profiling how to improve it.