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A Computationally Efficient Implementation of Tabulated Combustion Chemistry based on Polynomials and Automatic Source Code Generation

Weise, S. and Popp, S. and Messig, D. and Hasse, C. (2018):
A Computationally Efficient Implementation of Tabulated Combustion Chemistry based on Polynomials and Automatic Source Code Generation.
100, In: Flow, Turbulence and Combustion, (1), pp. 119-146, ISSN 1573-1987, DOI: 10.1007/s10494-017-9826-x,
[Online-Edition: https://doi.org/10.1007/s10494-017-9826-x],
[Article]

Abstract

The simulation of turbulent combustion is a multiphysics and multiscale problem, in which two different domains - fluid mechanics and chemistry - have to be coupled. One solution is a CFD-based simulation framework that performs lookups on tabulated chemistry using flamelets. The tables can become very large when the resolution is increased and modelling parameters and solution values are added. This makes dynamic memory management and its runtime requirements a crucial issue in these simulations. A novel approach for the efficient memory management of tabulated chemistry at reduced computational cost is developed in this study. The original interpolation-focused database is converted into a polynomial description, which is stored in a shared library as a set of functions. This step enables automatic compiler optimization techniques to achieve minimal data movement and the best use of modern computer architecture. The performance and properties of the method are evaluated in a generic test case and a fully coupled flame simulation.

Item Type: Article
Erschienen: 2018
Creators: Weise, S. and Popp, S. and Messig, D. and Hasse, C.
Title: A Computationally Efficient Implementation of Tabulated Combustion Chemistry based on Polynomials and Automatic Source Code Generation
Language: English
Abstract:

The simulation of turbulent combustion is a multiphysics and multiscale problem, in which two different domains - fluid mechanics and chemistry - have to be coupled. One solution is a CFD-based simulation framework that performs lookups on tabulated chemistry using flamelets. The tables can become very large when the resolution is increased and modelling parameters and solution values are added. This makes dynamic memory management and its runtime requirements a crucial issue in these simulations. A novel approach for the efficient memory management of tabulated chemistry at reduced computational cost is developed in this study. The original interpolation-focused database is converted into a polynomial description, which is stored in a shared library as a set of functions. This step enables automatic compiler optimization techniques to achieve minimal data movement and the best use of modern computer architecture. The performance and properties of the method are evaluated in a generic test case and a fully coupled flame simulation.

Journal or Publication Title: Flow, Turbulence and Combustion
Volume: 100
Number: 1
Divisions: 16 Department of Mechanical Engineering > Simulation of reactive Thermo-Fluid Systems (STFS)
16 Department of Mechanical Engineering
Date Deposited: 05 Apr 2018 12:44
DOI: 10.1007/s10494-017-9826-x
Official URL: https://doi.org/10.1007/s10494-017-9826-x
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