Ergül, ÖzgürGürel, Levent2016-02-082016-02-082007http://hdl.handle.net/11693/26936Date of Conference: 7-9 November 2007Conference Name: 22nd International Symposium on Computer and Information Sciences, IEEE 2007We present the solution of large-scale scattering problems involving three-dimensional closed conducting objects with arbitrary shapes. With an efficient parallelization of the multilevel fast multipole algorithm on relatively inexpensive computational platforms using distributed-memory architectures, we perform the iterative solution of integral-equation formulations that are discretized with tens of millions of unknowns. In addition to canonical problems, we also present the solution of real-life problems involving complicated targets with large dimensions.EnglishBoolean functionsCommunicationCyberneticsInformation managementInformation scienceIntegral equationsIterative methodsParallel algorithmsArbitrary shapesCanonical problemsComputational platformsConducting objectsDistributed memoriesIntegral-equationInternational symposiumIterative solutionsLarge dimensionsLarge scale scatteringMultilevel fast multipole algorithm (MLFMA)ParallelizationReal life problemsThree dimensional (3D)Parallel processing systemsSolution of large-scale scattering problems with the multilevel fast multipole algorithm parallelized on distributed-memory architecturesConference Paper10.1109/ISCIS.2007.4456837