Browsing by Keywords "Parallel implementations"
Now showing items 111 of 11

Accuracy and efficiency considerations in the solution of extremely large electromagnetics problems
(IEEE, 2011)This study considers fast and accurate solutions of extremely large electromagnetics problems. Surface formulations of largescale objects lead to dense matrix equations involving millions of unknowns. Thanks to recent ... 
Accuracy: The Frequently Overlooked Parameter in the Solution of Extremely Large Problems
(IEEE, 2011)We investigate error sources and their effects on the accuracy of solutions of extremely large electromagnetics problems with parallel implementations of the multilevel fast multipole algorithm (MLFMA). Accuracy parameters ... 
Advanced partitioning and communication strategies for the efficient parallelization of the multilevel fast multipole algorithm
(IEEE, 2010)Largescale electromagnetics problems can be solved efficiently with the multilevel fast multipole algorithm (MLFMA) [1], which reduces the complexity of matrixvector multiplications required by iterative solvers from O(N ... 
Benchmark Solutions of Large Problems for Evaluating Accuracy and Efficiency of Electromagnetics Solvers
(IEEE, 2011)We present a set of benchmark problems involving conducting spheres and their solutions using a parallel implementation of the multilevel fast multipole algorithm (MLFMA). Accuracy of the implementation is tested by comparing ... 
Blind phase noise estimation in OFDM systems by sequential Monte Carlo method
(Springer, 2006)In this paper, based on a sequential Monte Carlo method, a computationally efficient algorithm is presented for estimating the residual phase noise, blindly, generated at the output the phase tracking loop employed in OFDM ... 
Effective preconditioners for large integralequation problems
(IET, 200711)We consider effective preconditioning schemes for the iterative solution of integralequation methods. For parallel implementations, the sparse approximate inverse or the iterative solution of the nearfield system enables ... 
An efficient parallel implementation of the multilevel fast multipole algorithm for rigorous solutions of largescale scattering problems
(IEEE, 2010)We present the solution of largescale scattering problems discretized with hundreds of millions of unknowns. The multilevel fast multipole algorithm (MLFMA) is parallelized using the hierarchical partitioning strategy on ... 
Fast and accurate analysis of largescale composite structures with the parallel multilevel fast multipole algorithm
(Optical Society of America, 2013)Accurate electromagnetic modeling of complicated optical structures poses several challenges. Optical metamaterial and plasmonic structures are composed of multiple coexisting dielectric and/or conducting parts. Such ... 
MLFMA solutions of transmission problems Involving realistic metamaterial walls
(IEEE, 200708)We present the solution of multilayer metamaterial (MM) structures containing large numbers of unit cells, such as splitring resonators. Integralequation formulations of scattering problems are solved iteratively by ... 
ParallelMLFMA solutions of largescale problems involving composite objects
(IEEE, 201207)We present a parallel implementation of the multilevel fast multipole algorithm (MLFMA) for fast and accurate solutions of largescale electromagnetics problems involving composite objects with dielectric and metallic ... 
Rigorous solutions of largescale scattering problems discretized with hundreds of millions of unknowns
(200909)We present fast and accurate solutions of largescale scattering problems using a parallel implementation of the multilevel fast multipole algorithm (MLFMA). By employing a hierarchical partitioning strategy, MLFMA can be ...