https://icyveins7.github.io/tags/pimpl/Recent content in Pimpl on icyveins7's blogHugoen-usThis work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.Wed, 13 Aug 2025 20:00:00 +0800https://icyveins7.github.io/posts/2025/08/some-tips-for-integrating-small-bits-of-cuda-code-into-larger-codebases/Wed, 13 Aug 2025 20:00:00 +0800https://icyveins7.github.io/posts/2025/08/some-tips-for-integrating-small-bits-of-cuda-code-into-larger-codebases/<blockquote> <p>Some lessons from general C++ come in handy here..</p> </blockquote> <p>In some recent work I integrated some CUDA code I developed into a larger existing codebase, written for the CPU. Essentially, my module(s) would accelerate and replace some existing functionality, but was only a small cog in the machine.</p> <p>This is likely applicable to many others, so hopefully the lessons I document here will be concisely useful to those who chance upon this post.</p>