MLFMA memory reduction techniques for solving large-scale problems
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27718
IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
- Conference Paper 
Institute of Electrical and Electronics Engineers Inc.
We present two memory reduction methods for the parallel multilevel fast multipole algorithm. One of these methods uses data structures out of core, and the other parallelizes the data structures related to input geometry. With these methods, large-scale electromagnetic scattering problems can be solved on modest parallel computers. © 2014 IEEE.