1. Biologically inspired algorithms applied in automatic tuning of parallel solver parameters for fast execution times.
- Author
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Panoc, Tomáš, Meca, Onřej, Říha, Lubomír, Brzobohatý, Tomáš, and Kozubek, Tomáš
- Subjects
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OPTIMIZATION algorithms , *BIOLOGICALLY inspired computing , *TRANSIENT analysis , *ALGORITHMS , *WORK measurement , *ENGINEERING simulations , *PARALLEL algorithms - Abstract
In this paper, we present a way how to automatically find and set an optimal configuration for a linear system solver during a transient analysis in order to reduce computation time. Our approach is based on biologically inspired algorithms which are able to find a reasonable configuration in tens of trials, i.e., tens of timesteps in terminology of the transient analysis. This work shows a measurement within which we compared several optimization algorithms and explored their time overhead. We focus on parallel multiphysical solvers for engineering simulations developed for high-performance computing. Our experiment includes one such solver based on Finite Element Tearing and Interconnection and 4 test cases, but our solution is modular, thus, it can be connected to other similar solvers. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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