Articles | Volume 17, issue 16
https://doi.org/10.5194/gmd-17-6401-2024
https://doi.org/10.5194/gmd-17-6401-2024
Development and technical paper
 | 
29 Aug 2024
Development and technical paper |  | 29 Aug 2024

Physics-motivated cell-octree adaptive mesh refinement in the Vlasiator 5.3 global hybrid-Vlasov code

Leo Kotipalo, Markus Battarbee, Yann Pfau-Kempf, and Minna Palmroth

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Cited articles

Battarbee, M., Hannuksela, O. A., Pfau-Kempf, Y., von Alfthan, S., Ganse, U., Jarvinen, R., Leo, Suni, J., Alho, M., lturc, Ilja, tvbrito, and Grandin, M.: fmihpc/analysator: v0.9, Zenodo [code], https://doi.org/10.5281/zenodo.4462515, 2021. a
Berger, M. J. and Jameson, A.: Automatic adaptive grid refinement for the Euler equations, AIAA J., 23, 561–568, https://doi.org/10.2514/3.8951, 1985. a
Childs, H., Brugger, E., Whitlock, B., Meredith, J., Ahern, S., Pugmire, D., Biagas, K., Miller, M. C., Harrison, C., Weber, G. H., Krishnan, H., Fogal, T., Sanderson, A., Garth, C., Bethel, E. W., Camp, D., Rubel, O., Durant, M., Favre, J. M., and Navratil, P.: High Performance Visualization–Enabling Extreme-Scale Scientific Insight, edited by: Bethel, E. W., Childs, H., and Hansen, C., 1st Edn., Chapman and Hall/CRC, 520 pp., https://doi.org/10.1201/b12985, 2012. a
Devine, K., Boman, E., Heapby, R., Hendrickson, B., and Vaughan, C.: Zoltan Data Management Service for Parallel Dynamic Applications, Comput. Sci. Eng., 4, 90–97, https://doi.org/10.1109/5992.988653, 2002. a, b, c
Dubart, M., Ganse, U., Osmane, A., Johlander, A., Battarbee, M., Grandin, M., Pfau-Kempf, Y., Turc, L., and Palmroth, M.: Resolution dependence of magnetosheath waves in global hybrid-Vlasov simulations, Ann. Geophys., 38, 1283–1298, https://doi.org/10.5194/angeo-38-1283-2020, 2020. a, b, c
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Short summary
This paper examines a method called adaptive mesh refinement in optimization of the space plasma simulation model Vlasiator. The method locally adjusts resolution in regions which are most relevant to modelling, based on the properties of the plasma. The runs testing this method show that adaptive refinement manages to highlight the desired regions with manageable performance overhead. Performance in larger-scale production runs and mitigation of overhead are avenues of further research.