%0 Report %1 binder2018balancing %A Binder, T. %A Copplestone, S. %A Mirza, A. %A Nizenkov, P. %A Ortwein, P. %A Pfeiffer, M. %A Reschke, W. %A Munz, C. D. %D 2018 %K dropit irs myown piclas %T Load balancing strategies for the DSMC simulation of hypersonic flows using HPC. %U https://export.arxiv.org/pdf/1811.04742 %X In the context of the validation of PICLas, a kinetic particle suite for the simulation of rarefied, non-equilibrium plasma flows, the biased hypersonic nitrogen flow around a blunted cone was simulated with the Direct Simulation Monte Carlo method. The setup is characterized by a complex flow with strong local gradients and thermal non-equilibrium resulting in a highly inhomogeneous computational load. Especially, the load distribution is of interest, because it allows to exploit the utilized computational resources efficiently. Different load distribution algorithms are investigated and compared within a strong scaling. This investigation of the parallel performance of PICLas is accompanied by simulation results in terms of the velocity magnitude, translational temperature and heat flux, which is compared to experimental measurements.

@techreport{binder2018balancing, abstract = {In the context of the validation of PICLas, a kinetic particle suite for the simulation of rarefied, non-equilibrium plasma flows, the biased hypersonic nitrogen flow around a blunted cone was simulated with the Direct Simulation Monte Carlo method. The setup is characterized by a complex flow with strong local gradients and thermal non-equilibrium resulting in a highly inhomogeneous computational load. Especially, the load distribution is of interest, because it allows to exploit the utilized computational resources efficiently. Different load distribution algorithms are investigated and compared within a strong scaling. This investigation of the parallel performance of PICLas is accompanied by simulation results in terms of the velocity magnitude, translational temperature and heat flux, which is compared to experimental measurements.}, added-at = {2019-10-29T19:28:06.000+0100}, author = {Binder, T. and Copplestone, S. and Mirza, A. and Nizenkov, P. and Ortwein, P. and Pfeiffer, M. and Reschke, W. and Munz, C. D.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2eab14954f6a9ffadeb80e45c8f45d9a6/wladimirreschke}, interhash = {45f971d61d7cd57eba0c24bdb1d24673}, intrahash = {eab14954f6a9ffadeb80e45c8f45d9a6}, keywords = {dropit irs myown piclas}, timestamp = {2019-10-29T19:29:36.000+0100}, title = {Load balancing strategies for the DSMC simulation of hypersonic flows using HPC.}, url = {https://export.arxiv.org/pdf/1811.04742}, year = 2018 }