Inter node parallelization of multiscale fluid particle simulation towards large-scale polymeric fluid simulation

Technical Paper

Abstract

Parallelized multiscale simulation code for polymeric liquids not only microscopic simulation part but also macroscopic simulation part have been developed. Parallelization of macroscopic part of multiscale simulation arises a data inconsistency, which is solved using a data sorting algorithm. Adjusting the number of computing nodes for the macroscopic simulation to the optimal number, we have found to obtain an ideal speed-up. Numerical accuracy of the developed code has been checked by comparing with analytical solutions.

References

  1. FLAGSHIP 2020 Project (2017) http://www.aics.riken.jp/fs2020p/en/
  2. Gropp W, Lusk E, Doss N, Skjellum A (1996) A high-performance, portable implementation of the MPI message passing interface standard. Parallel Comput 22:789–828CrossRefMATHGoogle Scholar
  3. Huang C, Lei JM, Liu MB, Peng XY (2015) A kernel gradient free (KGF) SPH method. Int J Numer Meth Fluids 78:691–707MathSciNetCrossRefGoogle Scholar
  4. Iwasawa M, Tanikawa A, Hosono N, Nitadori K, Muranushi T, Makino J (2016) Implementation and performance of FDPS: a framework for developing parallel particle simulation codes. Publ Astron Soc Jpn 68:54CrossRefGoogle Scholar
  5. Larson RG (1998) The structure and rheology of complex fluids. Oxford University Press, OxfordGoogle Scholar
  6. Monaghan JJ (2005) Smoothed particle hydrodynamics. Rep Prog Phys 68:1703–1759MathSciNetCrossRefMATHGoogle Scholar
  7. Müller M, Charypar D, Gross M (2003) Proc. of 2003 ACM SIGGRAPH, pp 154–159Google Scholar
  8. Murashima T (2016) Multiscale simulation performed on ISSP super computer: analysis of entangled polymer melt flow. Activity Report 2015/Supercomputer Center, Institute for Solid State Physics, The University of Tokyo, pp 35–43Google Scholar
  9. Murashima T, Taniguchi T (2010) Multiscale Lagrangian fluid dynamics simulation for polymeric fluid. J Polym Sci B 48:886–893CrossRefGoogle Scholar
  10. Murashima T, Taniguchi T (2012) Flow-history-dependent behavior of entangled polymer melt flow analyzed by multiscale simulation. J Phys Soc Jpn 81:SA013CrossRefGoogle Scholar
  11. Murashima T, Yasuda S, Taniguchi T, Yamamoto R (2013a) Multiscale modeling for polymeric flow: particle-fluid bridging scale methods. J Phys Soc Jpn 82:012001CrossRefGoogle Scholar
  12. Murashima T, Toda M, Kawakatsu T (2013b) Multiscale simulation for soft matter: application to wormlike micellar solution. AIP Conf Proc 1518:436–439CrossRefGoogle Scholar
  13. Mutarhima T, Taniguchi T (2011) Multiscale simulation of history-dependent flow in entangled polymer melts. EPL 96:18002CrossRefGoogle Scholar
  14. Xue SC, Tanner RI, Phan-Thien N (2004) Numerical modelling of transient viscoelastic flows. J Non-Newtonian Fluid Mech 123:33–58CrossRefMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Tohoku UniversitySendaiJapan

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