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Dynamic task fusion for a block-structured finite volume solver over a dynamically adaptive mesh with local time stepping

Li, Baojiu; Schulz, Holger; Weinzierl, Tobias; Zhang, Han

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Authors

Baojiu Li

Holger Schulz

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Han Zhang han.zhang3@durham.ac.uk
Post Doctoral Research Associate



Abstract

Load balancing of generic wave equation solvers over dynamically adaptive meshes with local time stepping is dicult, as the load changes with every time step. Task-based programming promises to mitigate the load balancing problem. We study a Finite Volume code over dynamically adaptive block-structured meshes for two astrophysics simulations, where the patches (blocks) dene tasks. They are classied into urgent and low priority tasks. Urgent tasks are algorithmically latencysensitive. They are processed directly as part of our bulk-synchronous mesh traversals. Non-urgent tasks are held back in an additional task queue on top of the task runtime system. If they lack global side-eects, i.e. do not alter the global solver state, we can generate optimised compute kernels for these tasks. Furthermore, we propose to use the additional queue to merge tasks without side-eects into task assemblies, and to balance out imbalanced bulk synchronous processing phases.

Citation

Li, B., Schulz, H., Weinzierl, T., & Zhang, H. (2022). Dynamic task fusion for a block-structured finite volume solver over a dynamically adaptive mesh with local time stepping. In High Performance Computing 37th International Conference, ISC High Performance 2022, Hamburg, Germany, May 29 – June 2, 2022, Proceedings (153-173). Springer Verlag. https://doi.org/10.1007/978-3-031-07312-0_8

Acceptance Date Mar 29, 2022
Online Publication Date May 29, 2022
Publication Date 2022-05
Deposit Date Mar 18, 2022
Publicly Available Date May 29, 2023
Publisher Springer Verlag
Pages 153-173
Series Title Lecture Notes in Computer Science
Series Number 13289
Book Title High Performance Computing 37th International Conference, ISC High Performance 2022, Hamburg, Germany, May 29 – June 2, 2022, Proceedings
ISBN 978-3-031-07311-3
DOI https://doi.org/10.1007/978-3-031-07312-0_8

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