Multiprocessing of the time domain analysis of thin-wire antennas and scatterers

E. M. Garzón, S. Tabik, I. García, A. Bretones
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引用次数: 2

Abstract

We deal with 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 is mainly to device 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 speed-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 improves substantially as the number of processors increases and that this is the reason why superlinear speed-up is obtained.
细线天线和散射体时域分析的多处理
我们处理求解电场积分方程(EFIE)的数值方法的计算方面,以分析电磁信号与细导线结构的相互作用。我们的兴趣主要是为这种数值方法设计一种有效的并行实现,以帮助物理学家求解非常复杂和大型细线结构的电场积分方程。这种并行实现的开发已经在分布式存储多处理器上进行,使用并行编程库MPI和PETSc(可移植的,可扩展的科学计算工具包)例程。这些例程可以并行求解稀疏线性系统。为了优化并行实现的性能,已经设计了适当的数据分区。定义了一个名为相对效率的参数,用于比较使用不同数量处理器的两次并行执行。这个参数允许我们更好地描述并行实现的超线性性能行为。从加速值和相对效率两方面对并行实现进行了评价。此外,还讨论了内存需求与处理器数量的关系。随着处理器数量的增加,内存层次管理得到了显著改善,这就是获得超线性加速的原因。
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