基于CUDA的离散粒子系统仿真与实现

HU Qiang-qiang, Jiang Shun-liang, Xu Shao-ping, Dong Tian-wen
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引用次数: 4

摘要

本文采用NVIDIA的并行计算架构CUDA来实现一个离散粒子模拟系统。在邻居搜索部分,采用了基于哈希表的算法。在碰撞部分,采用CUDA流将一步仿真拆分为四个并行流,采用异步复制的方法输出,从而设计了一种有效使用CUDA内存模型的方法。结果表明,CUDA离散粒子系统是高效的。
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The Simulation and Implementation of Discrete Particle System based on CUDA
In this paper, NVIDIA's parallel computing architecture CUDA is used to implement a discrete particle simulation system. In the neighbor search part, an algorithm based on hash list is used. In the collision part, the stream of CUDA is used to split one step simulation to four parallel streams, the asynchronous copy method is used to output, then an efficient way to use the CUDA memory model is designed. The results shown that the CUDA's discrete particle system is efficient and effective.
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