A GPU-based hydrodynamic simulator with boid interactions

IF 2 4区 计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Xi Liu, Gizem Kayar, Ken Perlin
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引用次数: 0

Abstract

We present a hydrodynamic simulation system using the GPU compute shaders of DirectX for simulating virtual agent behaviors and navigation inside a smoothed particle hydrodynamical (SPH) fluid environment with real-time water mesh surface reconstruction. The current SPH literature includes interactions between SPH and heterogeneous meshes but seldom involves interactions between SPH and virtual boid agents. The contribution of the system lies in the combination of the parallel smoothed particle hydrodynamics model with the distributed boid model of virtual agents to enable agents to interact with fluids. The agents based on the boid algorithm influence the motion of SPH fluid particles, and the forces from the SPH algorithm affect the movement of the boids. To enable realistic fluid rendering and simulation in a particle-based system, it is essential to construct a mesh from the particle attributes. Our system also contributes to the surface reconstruction aspect of the pipeline, in which we performed a set of experiments with the parallel marching cubes algorithm per frame for constructing the mesh from the fluid particles in a real-time compute and memory-intensive application, producing a wide range of triangle configurations. We also demonstrate that our system is versatile enough for reinforced robotic agents instead of boid agents to interact with the fluid environment for underwater navigation and remote control engineering purposes.

基于 GPU 的水动力模拟器与boid 的相互作用
我们介绍了一种使用 DirectX GPU 计算着色器的流体动力学仿真系统,用于模拟虚拟代理在平滑粒子流体动力学(SPH)流体环境中的行为和导航,并实时重建水网格表面。目前的 SPH 文献包括 SPH 与异质网格之间的交互,但很少涉及 SPH 与虚拟boid 代理之间的交互。该系统的贡献在于将平行平滑粒子流体力学模型与虚拟代理的分布式 boid 模型相结合,使代理能够与流体互动。基于 boid 算法的代理影响 SPH 流体粒子的运动,而 SPH 算法的力又影响 boids 的运动。为了在基于粒子的系统中实现逼真的流体渲染和模拟,必须根据粒子属性构建网格。我们的系统还对管道的表面重建方面做出了贡献,其中我们进行了一组实验,在实时计算和内存密集型应用中,每帧使用并行行进立方体算法从流体粒子构建网格,产生了多种三角形配置。我们还证明,我们的系统具有足够的通用性,可用于加强机器人代理而不是boid代理与流体环境互动,以实现水下导航和远程控制工程目的。
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来源期刊
Parallel Computing
Parallel Computing 工程技术-计算机:理论方法
CiteScore
3.50
自引率
7.10%
发文量
49
审稿时长
4.5 months
期刊介绍: Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture, system software, programming systems and tools, and applications. Within this context the journal covers all aspects of high-end parallel computing from single homogeneous or heterogenous computing nodes to large-scale multi-node systems. Parallel Computing features original research work and review articles as well as novel or illustrative accounts of application experience with (and techniques for) the use of parallel computers. We also welcome studies reproducing prior publications that either confirm or disprove prior published results. Particular technical areas of interest include, but are not limited to: -System software for parallel computer systems including programming languages (new languages as well as compilation techniques), operating systems (including middleware), and resource management (scheduling and load-balancing). -Enabling software including debuggers, performance tools, and system and numeric libraries. -General hardware (architecture) concepts, new technologies enabling the realization of such new concepts, and details of commercially available systems -Software engineering and productivity as it relates to parallel computing -Applications (including scientific computing, deep learning, machine learning) or tool case studies demonstrating novel ways to achieve parallelism -Performance measurement results on state-of-the-art systems -Approaches to effectively utilize large-scale parallel computing including new algorithms or algorithm analysis with demonstrated relevance to real applications using existing or next generation parallel computer architectures. -Parallel I/O systems both hardware and software -Networking technology for support of high-speed computing demonstrating the impact of high-speed computation on parallel applications
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