Hidayetoğlu, MertKaraosmanoğlu, BarışcanGürel, Levent2016-02-082016-02-082013http://hdl.handle.net/11693/27948Date of Conference: 2-5 Aug. 2013We present two memory-reduction methods for the parallel multilevel fast multipole algorithm (MLFMA). The first method implements out-of-core techniques and the second method parallelizes the pre-processing data structures. Together, these methods decrease parallel MLFMA memory bottlenecks, and hence fast and accurate solutions can be achieved for largescale electromagnetics problems.EnglishElectromagneticsMemory bottleneckMulti level fast multipole algorithms (MLFMA)Out-of-coreOut-of-core techniquesParallelizationsPre-processingElectromagnetismRadiationComputational electromagneticsReducing MLFMA memory with out-of-core implementation and data-structure parallelizationConference Paper10.1109/CEM.2013.6617124