Parallel hardware and software implementations for electromagnetic computations

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buir.advisorGürel, Levent
dc.contributor.authorBozbulut, Ali Rıza
dc.date.accessioned2016-07-01T11:03:58Z
dc.date.available2016-07-01T11:03:58Z
dc.date.issued2005
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractMultilevel fast multipole algorithm (MLFMA) is an accurate frequencydomain electromagnetics solver that reduces the computational complexity and memory requirement significantly. Despite the advantages of the MLFMA, the maximum size of an electromagnetic problem that can be solved on a single processor computer is still limited by the hardware resources of the system, i.e., memory and processor speed. In order to go beyond the hardware limitations of single processor systems, parallelization of the MLFMA, which is not a trivial task, is suggested. This process requires the parallel implementations of both hardware and software. For this purpose, we constructed our own parallel computer clusters and parallelized our MLFMA program by using message-passing paradigm to solve electromagnetics problems. In order to balance the work load and memory requirement over the processors of multiprocessors systems, efficient load balancing techniques and algorithms are included in this parallel code. As a result, we can solve large-scale electromagnetics problems accurately and rapidly with parallel MLFMA solver on parallel clusters.en_US
dc.description.provenanceMade available in DSpace on 2016-07-01T11:03:58Z (GMT). No. of bitstreams: 1 0002948.pdf: 2062666 bytes, checksum: 3ea0aa2cc1e60456c859f32c176ef251 (MD5) Previous issue date: 2005en
dc.description.statementofresponsibilityBozbulut, Ali Rızaen_US
dc.format.extentxvii, 81 leaves, illustrationsen_US
dc.identifier.itemidBILKUTUPB093841
dc.identifier.urihttp://hdl.handle.net/11693/29718
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectParallelizationen_US
dc.subjectLoad Balancingen_US
dc.subjectPartitioningen_US
dc.subjectOptimizationen_US
dc.subjectParallel Computer Clusteren_US
dc.subject.lccQA76.642 .B69 2005en_US
dc.subject.lcshParallel programming (Computer science)en_US
dc.titleParallel hardware and software implementations for electromagnetic computationsen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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