时间扭曲刚体模拟

B. Mirtich
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引用次数: 122

摘要

传统的高级刚体仿真算法对中等数量的刚体效果很好,但对数百个或更多的运动、相互作用的刚体的系统效果不佳。问题是这些方法中隐含的不必要的同步。Jefferson的时间扭曲算法[22]是一种缓解并行离散事件模拟中这一问题的技术。刚体动力学虽然是一个连续过程,但也表现出离散过程的许多方面。修正后的时间扭曲算法可用于单处理器刚体模拟器,对具有大量刚体的仿真具有显著的性能改进。本文阐述了传统高级仿真算法的局限性,介绍了Jefferson算法,并针对刚体情况对其进行了扩展和优化。它解决了刚体仿真的特定问题,例如碰撞检测和接触组管理,并描述了如何将这些问题纳入时间扭曲框架。定量实验结果表明,当应用于具有数百个体的系统时,时间扭曲算法比传统的高级刚体仿真算法具有显着的性能改进。正如本文所讨论的,它还有助于为并行实现铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Timewarp rigid body simulation
The traditional high-level algorithms for rigid body simulation work well for moderate numbers of bodies but scale poorly to systems of hundreds or more moving, interacting bodies. The problem is unnecessary synchronization implicit in these methods. Jefferson's timewarp algorithm [22] is a technique for alleviating this problem in parallel discrete event simulation. Rigid body dynamics, though a continuous process, exhibits many aspects of a discrete one. With modification, the timewarp algorithm can be used in a uniprocessor rigid body simulator to give substantial performance improvements for simulations with large numbers of bodies. This paper describes the limitations of the traditional high-level simulation algorithms, introduces Jefferson's algorithm, and extends and optimizes it for the rigid body case. It addresses issues particular to rigid body simulation, such as collision detection and contact group management, and describes how to incorporate these into the timewarp framework. Quantitative experimental results indicate that the timewarp algorithm offers significant performance improvements over traditional high-level rigid body simulation algorithms, when applied to systems with hundreds of bodies. It also helps pave the way to parallel implementations, as the paper discusses.
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