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Comparing Two Continuous Collision Detection Algorithms on CPU and GPUs

机译:比较CPU和GPU上的两种连续碰撞检测算法

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Fast filtering algorithms can highly improve the narrow-stage performance of continuous collision detection (CCD). The algorithm by Tang et al. is a fast solution to this problem, which casts it into a geometric constrain. We show that, after slight modification, this earlier work is interestingly equivalent to the recent result by Zhang and Liu that is directly derived from algebraic theorems. We compare the computational complexity and performance for the two algorithms using cloth simulation on CPU and GPUs.
机译:快速过滤算法可以极大地改善连续碰撞检测(CCD)的窄级性能。 Tang等人的算法。是解决此问题的快速方法,将其转化为几何约束。我们表明,经过稍加修改后,该早期工作有趣地等同于直接由代数定理得出的Zhang和Liu的最新结果。我们使用在CPU和GPU上的布料模拟来比较两种算法的计算复杂度和性能。

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