论文标题
GPU在CUDA中的射线表面相交算法的实现（计算统一设备体系结构）
GPU implementation of a ray-surface intersection algorithm in CUDA (Compute Unified Device Architecture)
论文作者
论文摘要
这些注释伴随着GitHub上发表的开源代码，该代码在CUDA中实现了基于GPU的线段，表面三角形交叉算法。它提到了一些相关的作品，并讨论了该实施特定的问题。目的是提供软件文档和对碰撞缓冲区管理的更明确性，这有时在在线文献中会省略。对于实际应用程序，基于CPU的测试实现通常被认为太慢而无法有用。相比之下，此处描述的代码针对NVIDIA GPU设备，并提供了更有效和可扩展的解决方案。主要API也包裹在Python中。该几何测试用于各种工程问题，因此开发的软件可以在新情况下重复使用。
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.
