Project Report on “Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations” (Reprint)

Steffen Hirschmann (), Andreas Kronenburg (), Colin W. Glass () and Dirk Pflüger ()
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Steffen Hirschmann: University of Stuttgart, Institute for Parallel and Distributed Systems
Andreas Kronenburg: University of Stuttgart, Institute for Combustion Technology
Colin W. Glass: Helmut Schmidt University Hamburg, Department of Mechanical Engineering
Dirk Pflüger: University of Stuttgart, Institute for Parallel and Distributed Systems

A chapter in High Performance Computing in Science and Engineering '20, 2021, pp 513-525 from Springer

Abstract: Abstract In this reporting period, we have combined several previous efforts to simulate a large-scale soot particle agglomeration with a dynamic, multi-scale turbulent background flow field. We have built upon previous simulations which include 3.2 million particles and have implemented load-balancing within a versatile simulation software. We have furthermore contributed tests of the load-balancing mechanisms for the agglomeration scenario. We have significantly increased the simulation to 109.85 million particles, superposing short-ranged MD with a dynamically changing multi-scale background flow field. Based on extensive software enhancements for the molecular dynamics software ESPResSo, we have started simulating on the Cray XC40 at HLRS. To verify that our setup reproduces essential physics, we have evaluated load-balancing for a scenario, for which we have scaled down the influence of the flow field to make the scenario mostly homogeneous on the subdomain scale. Finally, we have shown that load-balancing still pays off even for the homogenized version of our dynamic soot particle agglomeration scenario. Reprinted from Publication Advances in Parallel Computing, Volume 36: Parallel Computing: Technology Trends, Steffen Hirschmann, Andreas Kronenburg, Colin W. Glass, Dirk Pflüger, “Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations”, pages 147–156, Copyright 2020, with permission from IOS Press [1]. The publication is available at IOS Press through http://dx.doi.org/10.3233/APC200035 .

Date: 2021
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DOI: 10.1007/978-3-030-80602-6_34

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