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Analysis of the Interaction of Electromagnetic Signals with Thin-Wires Structures. Multiprocessing Issues for an Iterative Method

机译:薄线结构的电磁信号相互作用分析。迭代方法的多处理问题

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In this paper we analyse the computational aspects of a numerical method for solving the Electric Field Integral Equation (EFIE) for the analysis of the interaction of electromagnetic signals with thin-wires structures. Our interest concerns with the design of an efficient parallel implementation of this numerical method which helps physicist to solve the Electric Field Integral Equation for very complex and large thin-wires structures. The development of this parallel implementation has been carried out on distributed memory multiprocessors, with the use of the parallel programming library MPI and routines of PETSc (Portable, Extensible Toolkit for Scientific Computation). These routines can solve sparse linear systems in parallel. Appropriate data partitions have been designed in order to optimize the performance of the parallel implementation. A parameter named relative efficiency has been defined to compare two parallel executions with different number of processors. This parameter allows us to better describe the superlinear performance behavior of our parallel implementation. Evaluation of the parallel implementation is given in terms of the values of the speep-up and the relative efficiency. Moreover, a discussion about the requirements of memory versus the number of processors is included. It will be shown that memory hierarchy management plays a relevant role in the performance of this parallel implementation.
机译:在本文中,我们分析了用于求解电场积分方程(EFIE)的数值方法的计算方面,用于分析电磁信号与薄线结构的相互作用。我们的利益涉及设计该数值方法的有效并行实现,这有助于物理学家解决非常复杂和大薄线结构的电场整体方程。在分布式内存多处理器上执行了该并行实现的开发,利用PETSC的并行编程库MPI和程序(便携式,可扩展工具包进行科学计算)。这些例程可以并行解决稀疏的线性系统。设计了适当的数据分区,以优化并行实现的性能。已经定义了命名为相对效率的参数以比较具有不同数量的处理器的两个并行执行。此参数允许我们更好地描述我们并行实现的超连线性能行为。在脱水板的值和相对效率方面给出了并行实施的评估。此外,包括关于内存要求与处理器的数量的讨论。结果表明,内存层级管理在该并行实现的性能方面发挥着相关的作用。

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