CISE Postdoctoral Research Associates in Experimental Computer Science: Parallel Hierarchical Methods for Computational Electromagnetics (CCR-NSG; ACIR)

爱荷华州立大学计算机科学实验博士后：计算电磁学的并行分层方法这项研究的目标是开发并行算法和构建并行软件，用于解决涉及电磁散射计算分析的各种问题。具体的问题有：1)准平面的电磁散射，2)介质随机粗糙表面，3)多区域表面，4)场由频率表征的三维问题，以及5)场行为依赖于时间历史的三维问题。解决这些问题的统一主题将是使用分层快速多极法及其变种。研究的一个主要目标是发展有效地解决高度非均匀问题的能力。重点将放在开发与分布无关的算法上，即证明有效的算法，其运行时间独立于分布，而不对分布的范围或计算机算术的有限精度做出任何假设。这位博士后研究助理将与爱荷华州立大学的电磁学专家密切合作，开发和验证使用这些算法的软件。结果的验证将通过与实验数据以及从较慢的已建立的求解器获得的数值结果的比较来进行。该助理将使用传统的并行计算机和高性能集群对软件的性能进行实验评估。0103748爱荷华州立大学CIE博士后助理实验计算机科学：计算电磁的并行分层方法本研究的目标是开发并行算法和构建并行软件，用于解决涉及电磁散射计算分析的各种问题。具体的问题有：1)准平面的电磁散射，2)介质随机粗糙表面，3)多区域表面，4)场由频率表征的三维问题，以及5)场行为依赖于时间历史的三维问题。解决这些问题的统一主题将是使用分层快速多极法及其变种。研究的一个主要目标是发展有效地解决高度非均匀问题的能力。重点将放在开发与分布无关的算法上，即证明有效的算法，其运行时间独立于分布，而不对分布的范围或计算机算术的有限精度做出任何假设。这位博士后研究助理将与爱荷华州立大学的电磁学专家密切合作，开发和验证使用这些算法的软件。结果的验证将通过与实验数据以及从较慢的已建立的求解器获得的数值结果的比较来进行。助理将使用传统的并行计算机和高性能集群对软件的性能进行实验评估。

0103748Aluru, Srinivas.Iowa State UniversityCISE Postdoctoral Associates in Experimental Computer Science: Parallel Hierarchical Methods for Computational ElectromagneticsThe goal of this research is to develop parallel algorithms and build parallel software for the solution of a wide variety of problems involving the computational analysis of electromagnetic scattering. Specific problems of interest are: 1) electromagnetic scattering from quasi-planar surfaces, 2) dielectric random rough surfaces, 3) multiregion surfaces, 4) three-dimensional problems where the fields are characterized by frequency and 5) three-dimensional problems where the field behavior is dependent on time history. The unifying theme in addressing these problems will be the use of the hierarchical Fast Multipole Method and its variants. A major goal of the research is to develop the capability to solve highly non-uniform problems efficiently. Emphasis will be placed on the development of distribution-independent algorithms, i.e., provably efficient algorithms for which the run-time is independent of the distribution without making any assumptions on either the range of distributions or the limited precision of computer arithmetic. The postdoctoral research associate will develop and validate software employing these algorithms in close cooperation with experts in electromagnetics at Iowa State University. Validation of the results will be carried out via comparisons against experimental data as well as numerical results obtained from slower, established solvers. The associate will perform experimental evaluation of the performance of the software using conventional parallel computers and high-performance clusters.0103748Aluru, Srinivas.Iowa State UniversityCISE Postdoctoral Associates in Experimental Computer Science: Parallel Hierarchical Methods for Computational ElectromagneticsThe goal of this research is to develop parallel algorithms and build parallel software for the solution of a wide variety of problems involving the computational analysis of electromagnetic scattering. Specific problems of interest are: 1) electromagnetic scattering from quasi-planar surfaces, 2) dielectric random rough surfaces, 3) multiregion surfaces, 4) three-dimensional problems where the fields are characterized by frequency and 5) three-dimensional problems where the field behavior is dependent on time history. The unifying theme in addressing these problems will be the use of the hierarchical Fast Multipole Method and its variants. A major goal of the research is to develop the capability to solve highly non-uniform problems efficiently. Emphasis will be placed on the development of distribution-independent algorithms, i.e., provably efficient algorithms for which the run-time is independent of the distribution without making any assumptions on either the range of distributions or the limited precision of computer arithmetic. The postdoctoral research associate will develop and validate software employing these algorithms in close cooperation with experts in electromagnetics at Iowa State University. Validation of the results will be carried out via comparisons against experimental data as well as numerical results obtained from slower, established solvers. The associate will perform experimental evaluation of the performance of the software using conventional parallel computers and high-performance clusters.