Become Faster in Writing Performant CUDA Kernels using the Source Page in Nsight Compute

Optimizing the performance of CUDA kernel code is typically by itself a time-constrained effort. Learn how to make the most of the Source Page in Nsight Compute to quickly pinpoint and resolve bottlenecks in your CUDA kernels. We'll discuss best practices to efficiently navigate the source views, how to utilize code correlation to understand the behavior of the compiler-generated code, and take a detailed look at the metrics that are available per individual source line.