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A fast and interactive heat conduction simulator on GPUs

机译:GPU上的快速交互式导热模拟器

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摘要

GPU offers a number of unique benefits to scientific simulation and visualization. Its superior computing capability and interoperability with graphics library are two of those that make GPU the platform of choice. In this paper, we present a fast and interactive heat conduction simulator on GPUs using CUDA and OpenGL. The numerical solution of a two-dimensional heat conduction equation is decomposed into two directions to solve tridiagonal linear systems. To achieve fast simulation, a widely used implicit solver, alternating direction implicit (ADI) is accelerated on GPUs using GPU-based parallel tridiagonal solvers.Weinvestigate the performance bottleneck of the solver and optimize it with several methods. In addition, we conduct thorough evaluations of the GPU-based ADI solver performance with three different tridiagonal solvers. Furthermore, our design takes advantage of efficient CUDA–OpenGL interoperability to make the simulation interactive in real-time. The proposed interactive visualization simulator can be served as a building block for numerous advanced emergency management systems in engineering practices.
机译:GPU为科学仿真和可视化提供了许多独特的优势。其卓越的计算能力和与图形库的互操作性是使GPU成为首选平台的两个因素。在本文中,我们提出了使用CUDA和OpenGL在GPU上进行快速交互的导热模拟器。将二维热传导方程的数值解分解为两个方向,以求解三对角线性系统。为了实现快速仿真,使用基于GPU的并行三对角线求解器在GPU上加速了广泛使用的隐式求解器,交替方向隐式(ADI)。我们研究了求解器的性能瓶颈并使用多种方法对其进行了优化。此外,我们使用三种不同的三对角线求解器对基于GPU的ADI求解器性能进行了全面评估。此外,我们的设计利用高效的CUDA-OpenGL互操作性,使仿真实时交互。所提出的交互式可视化模拟器可以用作工程实践中众多高级应急管理系统的基础。

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