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dc.contributor.authorDziekonski, A.
dc.contributor.authorMrozowski, M.
dc.date.accessioned2020-04-21T09:37:16Z
dc.date.available2020-04-21T09:37:16Z
dc.date.issued2018-12cs
dc.identifier.citationRadioengineering. 2018 vol. 27, č. 4, s. 930-936. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/186784
dc.description.abstractThis paper presents two fast generalized eigenvalue solvers for sparse symmetric matrices that arise when electromagnetic cavity resonances are investigated using the higher-order finite element method (FEM). To find a few low-order resonances, the locally optimal block conjugate gradient (LOBPCG) algorithm with null-space deflation is applied. The computations are expedited by using one or two graphical processing units (GPUs) as accelerators. The performance of the solver is tested for single and dual GPU hardware setups, making use of two types of GPU: NVIDIA Kepler K40s and NVIDIA Pascal P100s. The speed of the GPU-accelerated solvers is compared to a multithreaded implementation of the same algorithm using a multicore central processing unit (CPU, Intel Xeon E5-2680 v3 with twelve cores). It was found that, even for the least efficient setups, the GPU-accelerated code is approximately twice as fast as a parallel CPU-only implementation.en
dc.formattextcs
dc.format.extent930-936cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2018/18_04_0930_0936.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectFEMen
dc.subjectgeneralized eigenvalue problemen
dc.subjectGPUen
dc.subjectMaxwell's equationsen
dc.subjectresonatorsen
dc.titleSingle and Dual-GPU Generalized Sparse Eigenvalue Solvers for Finding a Few Low-Order Resonances of a Microwave Cavity Using the Finite-Element Methoden
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume27cs
dc.identifier.doi10.13164/re.2018.0930en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution 4.0 International license
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International license