| Bibliography | Hirschmann, Steffen; Kronenburg, Andreas; Glass, Colin W.; Pflüger, Dirk: Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations.
In: Foster, Ian (ed.); Joubert, Gerhard R. (ed.); Kucera, Ludek (ed.); Nagel, Wolfgang E. (ed.); Peters, Frans (ed.): Parallel Computing: Technology Trends.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
Advances in Parallel Computing; 36, pp. 147-156, english.
IOS Press, March 2020.
DOI: 10.3233/APC200035.
Article in Proceedings (Conference Paper).
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| Corporation | International Conference on Parallel Computing |
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| CR-Schema | G.0 (Mathematics of Computing General)
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| Abstract | In this work, we combine several previous efforts to simulate a large-scale soot particle agglomeration with a dynamic, multi-scale turbulent background flow field. We build upon previous simulations which include 3.2 million particles and implement load-balancing into the used simulation software as well as tests of the load-balancing mechanisms on this scenario. We increase the simulation to 109.85 million particles, superpose a dynamically changing multi-scale background flow field and use our software enhancements to the molecular dynamics software ESPResSo to simulate this on a Cray XC40 supercomputer. To verify that our setup reproduces essential physics we scale the influence of the flow field down to make the scenario mostly homogeneous on the subdomain scale. Finally, we show that even on the homogeneous version of this soot particle agglomeration simulation, load-balancing still pays off.
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Full text and
other links | PDF (344061 Bytes)
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| Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Simulation of Large Systems
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| Entry date | April 16, 2020 |
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