Biologically inspired algorithms applied in automatic tuning of parallel solver parameters for fast execution times

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F24%3A10255017" target="_blank" >RIV/61989100:27740/24:10255017 - isvavai.cz</a>
Result on the web
<a href="https://pubs.aip.org/aip/acp/article/3094/1/500015/3297255/Biologically-inspired-algorithms-applied-in" target="_blank" >https://pubs.aip.org/aip/acp/article/3094/1/500015/3297255/Biologically-inspired-algorithms-applied-in</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/5.0210563" target="_blank" >10.1063/5.0210563</a>

Result language
angličtina
Original language name
Biologically inspired algorithms applied in automatic tuning of parallel solver parameters for fast execution times
Original language description
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.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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