skip to main content
10.1145/3407947.3407953acmotherconferencesArticle/Chapter ViewAbstractPublication Pageshp3cConference Proceedingsconference-collections
research-article

Modeling performance of the multiscale fluid numerical solver on large-scale parallel computers

Authors Info & Claims
Published:06 August 2020Publication History

ABSTRACT

The BCF(Brownian Configuration Fields) method is one of the most promising multi-scale approaches for simulating complex fluids. As a novel parallel algorithm, the MCDPar algorithm could be used to significantly reduce the time cost of BCF-based multi-scale fluid simulations. In this paper, we focus on the parallel performance model for a MCDPar solver on massively parallel computers. A theoretical model to predicting the overall time cost is proposed and the key parameters are fitted through experimental results. This performance model explains the significant performance improvement observed previously and could be used for cost estimation and parameter design.

References

  1. M. Laurati, G. Petekidis, N. Koumakis, F. Cardinaux, A. B. Schofield, J. M. Brader, M. Fuchs, and S. U. Egelhaaf. Structure, dynamics, and rheology of colloid-polymer mixtures: From liquids to gels. Journal of Chemical Physics, 130(13):134--907, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  2. S. Lerouge and J. F. Berret. Shear-induced transitions and instabilities in surfactant wormlike micelles. Polymer Characterization: Rheology, Laser Interferometry, Electrooptics, 230:1--71, 2010.Google ScholarGoogle Scholar
  3. B. Lonetti, M. Camargo, J. Stellbrink, C. N. Likos, E. Zaccarelli, L. Willner, P. Lindner, and D. Richter. Ultrasoft colloid-polymer mixtures: Structure and phase diagram. Physical Review Letters, 106(22):228--301, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  4. S. Ravindranath, S. Q. Wang, M. Olechnowicz, V. S. Chavan, and R. P. Quirk. How polymeric solvents control shear inhomogeneity in large deformations of entangled polymer mixtures. Rheologica Acta, 50(2):97--105, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  5. Xiao-Wei Guo, Shun Zou, Xuejun Yang, Xue-Feng Yuan, and Miao Wang. Interface instabilities and chaotic rheological responses in binary polymer mixtures under shear flow. RSG Advances, 4(105):61167--61177, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  6. Roland Keunings. Micro-macro methods for the multiscale simulation of viscoelastic flow using molecular models of kinetic theory. Rheology reviews, 2004:67--98, 2004.Google ScholarGoogle Scholar
  7. Yi Liu, Canqun Yang, Chengkun Wu, Xiang Zhang, Xin Zhang, and Xiao-Wei Guo. Micro-macro methods for the multiscale simulation of viscoelastic flow using molecular models of kinetic theory. Exploring the Molecular Distributions in Dilute Polymer Solutions Using a Multi-Scale Numerical Solver, 10(4):387, 2018.Google ScholarGoogle Scholar
  8. X. W. Guo, X. H. Xu, Q. Wang, H. Li, X. G. Ren, L. Xu, and X. J. Yang. A hybrid decomposition parallel algorithm for multi-scale simulation of viscoelastic fluids. In 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pages 443-452, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  9. Yi Liu, Xiao-Wei Guo, Chao Li, Canqun Yang, Xinbiao Gan, Peng Zhang, Yi Wang, Ran Zhao, and Sijiang Fan. The communication-overlapped hybrid decomposition parallel algorithm for multi-scale fluid simulations. In Proceedings of the 48th International Conference on Parallel Processing, ICPP 2019, pages 85:1--85:12. ACM, 2019.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Z. Li, F. Duan, M. Nguyen, H. Che, Y. Lei, and H. Jiang. Ipso: A scaling model for data-intensive applications. In 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), pages 238--248, July 2019.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Modeling performance of the multiscale fluid numerical solver on large-scale parallel computers

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        HP3C 2020: Proceedings of the 2020 4th International Conference on High Performance Compilation, Computing and Communications
        June 2020
        191 pages
        ISBN:9781450376914
        DOI:10.1145/3407947

        Copyright © 2020 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 August 2020

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed limited
      • Article Metrics

        • Downloads (Last 12 months)2
        • Downloads (Last 6 weeks)0

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader