MLFMA memory reduction techniques for solving large-scale problems
| Autor: | Levent Gurel, Mert Hidayetoglu |
|---|---|
| Přispěvatelé: | Gürel, Levent |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Data structures
Scale (ratio) Computer science Scattering Parallel computer Parallel computing Memory reduction Data structure Large-scale problem Reduction methods Multi-level fast multi-pole algorithm Computational science Reduction (complexity) Out-of-core Out-of-core algorithm Electromagnetic wave scattering Large-scale electromagnetic scatterings Multipole expansion Algorithms |
| Zdroj: | 2014 IEEE Antennas and Propagation Society International Symposium (APSURSI) |
| Popis: | Date of Conference: 6-11 July 2014 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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