In this paper large full-wave simulations are performed using a parallel Multilevel Fast Multipole Algorithm (MLFMA) implementation. The data structures of the MLFMA-tree are partitioned according to the so-called hierarchical partitioning scheme, while the radiation patterns are partitioned in a blockwise way. To test the implementation of the algorithm, a full-wave simulation of a canonical example with more than 50 millions of unknowns has been performed
Abstract. The multilevel fast multipole algorithm (MLFMA) has shown great efficiency in solving larg...
In this contribution, we demonstrate that recent improvements in "fast methods" allow for fully erro...
In this paper, a new strategy for the parallelization of the multilevel fast multipole algorithm (ML...
Algorithmic improvements to the parallel, distributed-memory multilevel fast multipole algorithm (ML...
We present a novel hierarchical partitioning strategy for the efficient parallelization of the multi...
We present fast and accurate solutions of large-scale scattering problems using a parallel implement...
We present a novel hierarchical partitioning strategy for the efficient parallelization of the multi...
Due to its O(N log N) complexity, the multilevel fast multipole algorithm (MLFMA) is one of the most...
A hierarchical parallelisation of the multilevel fast multipole algorithm (MLFMA) for the efficient ...
The development of a scalable parallel multilevel fast multipole algorithm (MLFMA) for three dimensi...
Due to its O(NlogN) complexity, the multilevel fast multipole algorithm (MLFMA) is one of the most p...
This paper investigates the scalability of the parallel multilevel fast multipole algorithm (MLFMA)....
Large-scale electromagnetics problems can be solved efficiently with the multilevel fast multipole a...
We present the solution of large-scale scattering problems discretized with hundreds of millions of ...
We present two memory reduction methods for the parallel multilevel fast multipole algorithm. One of...
Abstract. The multilevel fast multipole algorithm (MLFMA) has shown great efficiency in solving larg...
In this contribution, we demonstrate that recent improvements in "fast methods" allow for fully erro...
In this paper, a new strategy for the parallelization of the multilevel fast multipole algorithm (ML...
Algorithmic improvements to the parallel, distributed-memory multilevel fast multipole algorithm (ML...
We present a novel hierarchical partitioning strategy for the efficient parallelization of the multi...
We present fast and accurate solutions of large-scale scattering problems using a parallel implement...
We present a novel hierarchical partitioning strategy for the efficient parallelization of the multi...
Due to its O(N log N) complexity, the multilevel fast multipole algorithm (MLFMA) is one of the most...
A hierarchical parallelisation of the multilevel fast multipole algorithm (MLFMA) for the efficient ...
The development of a scalable parallel multilevel fast multipole algorithm (MLFMA) for three dimensi...
Due to its O(NlogN) complexity, the multilevel fast multipole algorithm (MLFMA) is one of the most p...
This paper investigates the scalability of the parallel multilevel fast multipole algorithm (MLFMA)....
Large-scale electromagnetics problems can be solved efficiently with the multilevel fast multipole a...
We present the solution of large-scale scattering problems discretized with hundreds of millions of ...
We present two memory reduction methods for the parallel multilevel fast multipole algorithm. One of...
Abstract. The multilevel fast multipole algorithm (MLFMA) has shown great efficiency in solving larg...
In this contribution, we demonstrate that recent improvements in "fast methods" allow for fully erro...
In this paper, a new strategy for the parallelization of the multilevel fast multipole algorithm (ML...