Application of CUDA Computing Principles in Automatic Flight Control Simulation

2013 8th EUROSIM Congress on Modelling and Simulation Pub Date : 2013-09-10 DOI:10.1109/EUROSIM.2013.120

P. Kvasnica, I. Kvasnica

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Abstract

The paper deals with aspects of mathematical modelling that is necessary for successful development of modelling and simulation technology. Several ongoing research efforts aim at improving automation of parallelisation for performance optimization of the Compute Unified Device Architecture (CUDA) software. An Application Processing Interface (API) allows the user to send commands to a graphics processing unit to draw objects on a display. The power of graphics processing unit is used by the simulation. Graphic Processing Unit (GPU) hardware designers have been developing unified processors which are increasingly resembling high-performance parallel computers. CUDA programming is an example of the well known single-programmultiple-data (SIMD) parallel programming method. This kind of programming is a popular method for massively parallel computing systems. When the mathematical models of aircraft control are appropriately designed, the simulation maybe implemented on the GPU. Mathematical models of the automated aircraft control are the systems, in which the regulation can simulate the program on the GPU. The design of mathematical model is analysed at the end of the paper.

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CUDA计算原理在自动飞行控制仿真中的应用

本文讨论了建模和仿真技术成功发展所必需的数学建模方面的问题。一些正在进行的研究工作旨在提高并行化的自动化，以优化计算统一设备架构(CUDA)软件的性能。应用程序处理接口(API)允许用户向图形处理单元发送命令，以便在显示器上绘制对象。仿真利用了图形处理单元的强大功能。图形处理单元(GPU)硬件设计人员一直在开发统一处理器，使其越来越类似于高性能并行计算机。CUDA编程是众所周知的单程序多数据(SIMD)并行编程方法的一个例子。这种编程是大规模并行计算系统的一种流行方法。在适当设计飞机控制数学模型后，可以在GPU上实现仿真。飞机自动控制的数学模型是系统，其中的规则可以在GPU上模拟程序。最后对数学模型的设计进行了分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 8th EUROSIM Congress on Modelling and Simulation

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