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dc.contributor.authorLund, Amanda L.
dc.contributor.authorSiegel, Andrew M.
dc.contributor.authorForget, Benoit Robert Yves
dc.contributor.authorJosey, Colin
dc.contributor.authorRomano, Paul Kollath
dc.date.accessioned2017-05-02T16:20:40Z
dc.date.available2017-05-02T16:20:40Z
dc.date.issued2015-04
dc.identifier.urihttp://hdl.handle.net/1721.1/108585
dc.description.abstractWe describe and test a technique for carrying out energy grid searches in continuous-energy Monte Carlo (MC) neutron transport calculations that represents an optimal compromise between grid search performance and memory footprint. The method, based on the fractional cascading technique and referred to as the cascade grid, is tested within the OpenMC Monte Carlo code, and performance results comparing the method with existing approaches are presented for the Hoogenboom-Martin reactor benchmark. The cascade grid achieves significant speedups in calculation rate with negligible initialization overhead while not increasing the memory footprint by more than 2x. .en_US
dc.language.isoen_US
dc.publisherAmerican Nuclear Societyen_US
dc.relation.isversionofhttp://meetingsandconferences.com/mc2015/Program-schedule.htmlen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Forget via Chris Sherratten_US
dc.titleUsing Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculationsen_US
dc.typeArticleen_US
dc.identifier.citationLund, Amanda L., Andrew R. Siege, Benoit Forget, Colin Josey and Paul K. Romano. "Using Fractional Cascading to Accelerate Cross Section Lookups in Monte Carlo Neutron Transport Calculations" Article presented at the Joint International Conference on Mathematics and Computation (M&C), Supercomputing in Nuclear Applications (SNA) and the Monte Carlo (MC) Method. ANS MC2015 (Nashville, Tennessee, April 19–23, 2015).en_US
dc.contributor.departmentLincoln Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.contributor.mitauthorSiegel, Andrew M.
dc.contributor.mitauthorForget, Benoit Robert Yves
dc.contributor.mitauthorJosey, Colin
dc.contributor.mitauthorRomano, Paul Kollath
dc.relation.journalJoint International Conference on Mathematics and Computation (M&C), Supercomputing in Nuclear Applications (SNA) and the Monte Carlo (MC) Method. ANS MC2015en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsLund, Amanda L. ; Siege, Andrew R. ; Forget, Benoit ; Josey, Colin ; Romano, Paul K.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1459-7672
dc.identifier.orcidhttps://orcid.org/0000-0002-3210-5806
dc.identifier.orcidhttps://orcid.org/0000-0002-1147-045X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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