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DTSTAMP:20250822T115805Z
LOCATION:Room 5.0B15 & 16
DTSTART;TZID=Europe/Stockholm:20250616T143000
DTEND;TZID=Europe/Stockholm:20250616T150000
UID:submissions.pasc-conference.org_PASC25_sess128_msa224@linklings.com
SUMMARY:The t8code Library for Scalable Adaptive Mesh Refinement
DESCRIPTION:Lukas Dreyer (German Aerospace Center, Leibniz University Hann
 over); Johannes Holke (German Aerospace Center); and Katrin Schönlein (Ger
 man Aerospace Center, University of Bonn)\n\nDynamic adaptive mesh refinem
 ent has proven to be a successful tool in reducing the error of scientific
  simulations, while maintaining competitive runtimes. By refining the mesh
  locally in areas of interest, the computational power and memory consumpt
 ion is reduced by orders of magnitude compared to uniform meshes. However,
  the parallel management of adaptive meshes and their associated data is a
  challenging task and should be outsourced to third-party libraries. We pr
 esent the open-source library t8code for scalable AMR. Contrary to existin
 g tree-based AMR frameworks that focus on hypercubes, t8code extends the i
 dea of using discrete space-filling curves to general element types, inclu
 ding prisms, pyramids and simplices. Additionally, it also supports hybrid
  meshes with different shapes in the same mesh. A modular approach allows 
 to enhance t8code with additional features such as anisotropic (“2,5D”) re
 finement (currently work in progress) and geometric flexibility. Both of w
 hich are applied in earth system modelling. Scaling to more than one trill
 ion mesh elements and one million parallel processes t8code is  a scalable
  and performant alternative to unstructured meshing codes. We present the 
 mathematical basis for tree-structured refinement, t8code’s design princip
 les and show performance result that demonstrate its effectiveness and sca
 lability.\n\nDomain: Climate, Weather, and Earth Sciences, Computational M
 ethods and Applied Mathematics\n\nSession Chair: Farahnaz Khosrawi (Forsch
 ungszentrum Jülich)\n\n
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