These notes accompany the open-source code published in GitHub which implements a GPU-based line-segment, surface-triangle intersection algorithm in CUDA. It mentions some relevant works and discusses issues specific to this implementation. The goal is to provide software documentation and greater clarity on collision buffer management which is sometimes omitted in online literature. For real-world applications, CPU-based implementations of the test are often deemed too slow to be useful. In contrast, the code described here targets Nvidia GPU devices and offers a solution that is vastly more efficient and scalable. The main API is also wrapped in Python. This geometry test is applied in various engineering problems, so the software developed can be reused in new situations.

翻译：这些注释与GitHub出版的开放源代码相伴随,该代码在CUDA中实施基于 GPU 的线层、表面三角交叉算法。它提到一些相关的工程,并讨论执行过程中的具体问题。目标是提供软件文件和更清晰的碰撞缓冲管理,在网上文献中有时会省略。对于实际应用来说,基于 CPU 的测试实施往往被认为太慢而无法有用。相反,这里描述的代码针对的是Nvidia GPU 设备,提供了一种效率更高、可扩展的解决方案。主要的 API 也包裹在 Python 中。这种几何测试应用于各种工程问题,因此开发的软件可以在新的环境下再利用。