Nothing Special   »   [go: up one dir, main page]

Skip to main content

Parallel Dynamic Mesh Adaptation Within INMOST Platform

  • Conference paper
  • First Online:
Supercomputing (RuSCDays 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1129))

Included in the following conference series:

Abstract

The work is concerned with parallel dynamic mesh adaptation in INMOST software platform, a toolkit for mathematical modelling. The dynamic mesh adaptation functionality is in big demand in mathematical physics applications governed by approximate numerical solution of partial differential equations. The adaptation of computational mesh is required for two reasons: first, to better resolve the features of physical process by refining the mesh, second, to reduce computational costs by coarsening the mesh in regions away from zones of interest. This requires the mesh to be adapted and balanced along the simulation process based on the numerical solution. In this work the functionality of INMOST is extended to enable refinement of general polyhedral meshes in parallel.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bagaev, D.V., Burachkovski, A.I., Danilov, A.A., Konshin, I.N., Terekhov, K.M.: Development of INMOST software platform: dynamic grids, linear solvers and automatic differentiation. In: Proceedings of the International Conference on Russian Supercomputing Days, 26–27 September 2016, Moscow, Russia. Moscow State University, Moscow, pp. 543–555 (2016). (in Russian)

    Google Scholar 

  2. Danilov, A.A., Terekhov, K.M., Konshin, I.N., Vassilevski, Y.V.: Parallel software platform INMOST: a framework for numerical modeling. Supercomput. Front. Innovations 2(4), 55–66 (2015)

    Google Scholar 

  3. Flemisch, B., et al.: DuMux: DUNE for multi-phase, component, scale, physics,... flow and transport in porous media. Adv. Water Res. 34(9), 1102–1112 (2011)

    Google Scholar 

  4. Garimella, R.V.: MSTK-a flexible infrastructure library for developing mesh based applications. In: IMR, pp. 213–220 (2004)

    Google Scholar 

  5. Hartigan, J.A., Manchek, A.W.: Algorithm AS 136: a K-means clustering algorithm. J. Roy. Stat. Soc. Ser. C (Appl. Stat.) 28(1), 100–108 (1979)

    Article  Google Scholar 

  6. Tautges, T.J.: MOAB-SD: integrated structured and unstructured mesh representation. Eng. Comput. 20(3), 286–293 (2004)

    Article  Google Scholar 

  7. Terekhov, K.M.: Application of unstructured octree grid to the solution of filtration and hydrodynamics problems, Ph.D. Thesis, INM RAS (2013). (in Russian)

    Google Scholar 

  8. Terekhov, K., Vassilevski, Y.: INMOST parallel platform for mathematical modeling and applications. In: Voevodin, V., Sobolev, S. (eds.) RuSCDays 2018. CCIS, vol. 965, pp. 230–241. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-05807-4_20

    Chapter  Google Scholar 

  9. Terekhov, K., Vassilevski, Y.: Mesh modification and adaptation within INMOST programming platform. In: Garanzha, V.A., Kamenski, L., Si, H. (eds.) Numerical Geometry, Grid Generation and Scientific Computing. LNCSE, vol. 131, pp. 243–255. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-23436-2_18

    Chapter  Google Scholar 

  10. Vassilevski, Y.V., Konshin, I.N., Kopytov, G.V., Terekhov, K.M.: INMOST - programming platform and graphical environment for development of parallel numerical models on general grids. Moscow University Press, p. 144 (2013). (in Russian)

    Google Scholar 

  11. Distributed and Unified Numerics Environment. https://dune-project.org/. Accessed 10 Mar 2019

  12. INM RAS cluster. http://cluster2.inm.ras.ru/. Accessed 15 Apr 2018

  13. INMOST - a toolkit for distributed mathematical modeling. http://www.inmost.org/. Accessed 10 Mar 2019

  14. OpenFOAM is the free, open source CFD software. http://www.openfoam.com/. Accessed 10 Mar 2019

  15. Trilinos - platform for the solution of large-scale, complex multi-physics engineering and scientific problems. http://trilinos.org/. Accessed 10 Mar 2019

Download references

Acknowledgment

The author would like to thank the Lomonosov Moscow State University student Andrey Burachkovsky for the help with implementation of some algorithms. This work was supported by the Russian Science Foundation grant 18-11-00111.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kirill Terekhov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Terekhov, K. (2019). Parallel Dynamic Mesh Adaptation Within INMOST Platform. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2019. Communications in Computer and Information Science, vol 1129. Springer, Cham. https://doi.org/10.1007/978-3-030-36592-9_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-36592-9_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36591-2

  • Online ISBN: 978-3-030-36592-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics