Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5086
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorMa, PW-
dc.creatorWoo, CH-
dc.date.accessioned2014-12-11T08:25:41Z-
dc.date.available2014-12-11T08:25:41Z-
dc.identifier.issn1539-3755-
dc.identifier.urihttp://hdl.handle.net/10397/5086-
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.rightsPhysical Review E © 2009 The American Physical Society. The Journal's web site is located at http://pre.aps.org/en_US
dc.subjectLattice dynamicsen_US
dc.subjectNumerical analysisen_US
dc.subjectSpin dynamicsen_US
dc.titleParallel algorithm for spin and spin-lattice dynamics simulationsen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: C. H. Wooen_US
dc.identifier.spage1-
dc.identifier.epage8-
dc.identifier.volume79-
dc.identifier.issue4-
dc.identifier.doi10.1103/PhysRevE.79.046703-
dcterms.abstractTo control numerical errors accumulated over tens of millions of time steps during the integration of a set of highly coupled equations of motion is not a trivial task. In this paper, we propose a parallel algorithm for spin dynamics and the newly developed spin-lattice dynamics simulation [ P. W. Ma et al. Phys. Rev. B 78 024434 (2008)]. The algorithm is successfully tested in both types of dynamic calculations involving a million spins. It shows good stability and numerical accuracy over millions of time steps (∼1 ns). The scheme is based on the second-order Suzuki-Trotter decomposition (STD). The usage can avoid numerical energy dissipation despite the trajectory and machine errors. The mathematical base of the symplecticity, for properly decomposed evolution operators, is presented. Due to the noncommutative nature of the spin in the present STD scheme, a unique parallel algorithm is needed. The efficiency and stability are tested. It can attain six to seven times speed up when eight threads are used. The run time per time step is linearly proportional to the system size.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysical review. E, Statistical, nonlinear, and soft matter physics, Apr. 2009, v. 79, no. 4, 046703, p. 1-8-
dcterms.isPartOfPhysical review. E, Statistical, nonlinear, and soft matter physics-
dcterms.issued2009-04-06-
dc.identifier.isiWOS:000265941400092-
dc.identifier.scopus2-s2.0-65549150702-
dc.identifier.eissn1550-2376-
dc.identifier.rosgroupidr43591-
dc.description.ros2008-2009 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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