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

0103748 Aluru，Srinivas。爱荷华州州立大学CISE实验计算机科学博士后研究员：计算电磁学的并行分层方法本研究的目标是开发并行算法，并建立并行软件，用于解决各种各样的问题，包括电磁散射的计算分析。 感兴趣的具体问题是：1）准平面表面的电磁散射，2）电介质随机粗糙表面，3）多区域表面，4）三维问题，其中场的特征在于频率和5）三维问题，其中场的行为是依赖于时间的历史。 解决这些问题的统一主题将是使用分层快速多极子方法及其变体。 该研究的一个主要目标是开发有效解决高度非均匀问题的能力。 重点将放在独立于分布的算法，即，可证明有效的算法，其运行时间与分布无关，而不对分布范围或计算机运算的有限精度做任何假设。 博士后研究助理将开发和验证软件采用这些算法在密切合作的电磁学专家在爱荷华州州立大学。 验证的结果将通过比较实验数据，以及从较慢的，建立求解器获得的数值结果。 助理将使用传统并行计算机和高性能集群对软件性能进行实验评估。0103748 Aluru，Srinivas.爱荷华州州立大学CISE实验计算机科学博士后助理：计算电磁学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，用于解决涉及电磁学的各种问题。电磁散射的计算分析 感兴趣的具体问题是：1）准平面表面的电磁散射，2）电介质随机粗糙表面，3）多区域表面，4）三维问题，其中场的特征在于频率和5）三维问题，其中的场的行为是依赖于时间的历史。 解决这些问题的统一主题将是使用分层快速多极子方法及其变体。 该研究的一个主要目标是开发有效解决高度非均匀问题的能力。 重点将放在独立于分布的算法，即，可证明有效的算法，其运行时间与分布无关，而不对分布范围或计算机运算的有限精度做任何假设。 博士后研究助理将开发和验证软件采用这些算法在密切合作的电磁学专家在爱荷华州州立大学。 验证的结果将通过比较实验数据，以及从较慢的，建立求解器获得的数值结果。 该助理将使用传统并行计算机和高性能集群对软件性能进行实验评估。

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.