基于共享内存架构的RCS估计并行编程

P. S. Shibu, Atul, B. Choudhury, R. U. Nair
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引用次数: 0

摘要

并行编程技术在各种工程应用中得到了突出的探索,因为它为复杂问题提供了一种省时的解决方案,而不影响精度。用并行编程方法求解对计算能力要求很高的复杂电磁问题已成为研究的热点。本文研究了圆柱导管和凹凸面实心圆柱等电大结构的RCS估计的共享内存并行编程模型。本文利用OpenMP API和MATLAB中的并行计算工具箱对共享内存架构下的并行程序进行仿真。通过经典的RCS估计问题,计算时间呈指数级减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shared Memory Architecture based Parallel Programming for RCS Estimation
Parallel programming techniques have been prominently explored in various engineering applications as it provides a time efficient solution to the complex problems without affecting the accuracy. Parallel programming approach for solving complex electromagnetic problems with the requirement of huge computational power has been a thrust area of research. This paper focuses on shared memory parallel programming model for RCS estimation of electrically large structures such as cylindrical duct and a solid cylinder with surfaces of concave and convex in nature. In this paper OpenMP API and parallel computing toolbox in MATLAB are utilized to simulate a parallel program on a shared memory architecture. An exponential decrease in computation time has been through a classical RCS estimation problem.
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