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Parallel GPU-based collision detection of irregular vessel wall for massive particles

机译:基于GPU的不规则容器壁基于碰撞的并行检测

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摘要

In this paper, we present a novel GPU-based limit space decomposition collision detection algorithm (LSDCD) for performing collision detection between a massive number of particles and irregular objects, which is used in the design of the ADS (Accelerator Driven Sub-Critical) system. Test results indicate that, the collisions between ten million particles and the vessel can be detected on a general personal computer in only 0.5 second per frame. With this algorithm, the collision detection of maximum sixty million particles are calculated in 3.488030 seconds. Experiment results show that our algorithm is promising for fast collision detection.
机译:在本文中,我们提出了一种新颖的基于GPU的极限空间分解碰撞检测算法(LSDCD),用于在大量粒子和不规则物体之间执行碰撞检测,该算法被用于ADS(加速器驱动次临界)的设计中系统。测试结果表明,在一台普通个人计算机上,每帧仅需0.5秒即可检测到一千万个粒子与容器之间的碰撞。使用此算法,可在3.488030秒内计算出最多六千万个粒子的碰撞检测。实验结果表明,该算法在快速碰撞检测中具有广阔的前景。

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