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dc.contributor.authorDargaville, S
dc.contributor.authorBuchan, A
dc.contributor.authorSmedley-Stevenson, R
dc.contributor.authorSmith, P
dc.contributor.authorPain, C
dc.date.accessioned2021-01-20T14:25:05Z
dc.date.available2021-01-20T14:25:05Z
dc.date.issued2017-09-25
dc.identifier.issn2101-6275
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/69871
dc.description.abstractTraditionally, solver technology and the space/angle discretisations are intimately linked; sweep-based (wavefront) methods are typically used with DG FEM in space and Sn in angle to solve the Boltzmann-transport equation. These parallelise well (scaling to >100,000 cores) on structured grids, however achieving good scaling on unstructured grids is still an open problem. This talk will focus on alternate space/angle discretisations and solver technology we have been developing within the Applied Modelling and Computation Group (AMCG) at Imperial College. These approaches enables the use of traditional angular discretisations like Pn, Sn, along with new approaches based on linear and haar wavelets. We can use these angular discretisations to perform regular and goal-based anisotropic adaptivity in angle, focusing resolution in important directions. We have also been developing multigrid solver technology which does not require sweep-based methods, allowing the possibility of excellent scaling on unstructured grids.en_US
dc.format.extent06026 - ?
dc.publisherEDP Sciencesen_US
dc.relation.ispartofEPJ Web of Conferences
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleAdaptive angle and parallel multigrid for deterministic shielding problemsen_US
dc.typeArticleen_US
dc.rights.holder© The Authors, published by EDP Sciences, 2017
dc.identifier.doi10.1051/epjconf/201715306026
pubs.notesNot knownen_US
pubs.volume153en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderPredictive Modelling for Nuclear Engineering::Engineering and Physical Sciences Research Councilen_US
qmul.funderPredictive Modelling for Nuclear Engineering::Engineering and Physical Sciences Research Councilen_US
qmul.funderPredictive Modelling for Nuclear Engineering::Engineering and Physical Sciences Research Councilen_US


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This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.