Skip to main content
Log in

GPU-accelerated phase field simulation of directional solidification

  • Article
  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

The phase field simulation has been actively studied as a powerful method to investigate the microstructural evolution during the solidification. However, it is a great challenge to perform the phase field simulation in large length and time scale. The developed graphics processing unit (GPU) calculation is used in the phase filed simulation, greatly accelerating the calculation efficiency. The results show that the computation with GPU is about 36 times faster than that with a single Central Processing Unit (CPU) core. It provides the feasibility of the GPU-accelerated phase field simulation on a desktop computer. The GPU-accelerated strategy will bring a new opportunity to the application of phase field simulation.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Boettinger W J, Warren J A. Simulation of the cell to plane front transition during directional solidification at high velocity. J Cryst Growth, 1999, 3–4: 583–591

    Article  Google Scholar 

  2. Wang J C, Li J J, Yang Y J, et al. Phase field simulation of the interface morphology evolution and its stability during directional solidification of binary alloys. Sci China Ser E: Tech Sci, 2008, 38: 16–23

    MATH  MathSciNet  Google Scholar 

  3. Wang J C, Zhang Y X, Yang Y J, et al. Phase field modeling for dendritic morphology transition and micro-segregation in multi-component alloys. Sci China Ser E: Tech Sci, 2009, 2: 344–351

    Article  Google Scholar 

  4. Lan C W, Shih C J, Lee M H. Quantitative phase field simulation of deep cells in directional solidification of an alloy. Acta Mater, 2005, 8: 2285–2294

    Article  Google Scholar 

  5. Gurevich S, Karma A, Plapp M, et al. Phase-field study of three-dimensional steady-state growth shapes in directional solidification. Phys Rev E, 2010, 1: 011603

    Article  Google Scholar 

  6. Stone J E, Hardy D J, Ufimtsev I S, et al. GPU-accelerated molecular modeling coming of age. J Molecular Graphics Modelling, 2010, 2: 116–125

    Article  Google Scholar 

  7. Preis T, Virnau P, Paul W, et al. GPU accelerated Monte Carlo simulation of the 2D and 3D Ising model. J Comput Phys, 2009, 12: 4468–4477

    Article  Google Scholar 

  8. Xiong Q G, Li B, Xu J. Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units. Chin Sci Bull, 2012, 7: 707–715

    Article  Google Scholar 

  9. Huang C S, Zhang W H, Hou Z M, et al. CUDA based lattice Boltzmann method: Algorithm design and program optimization. Chin Sci Bull, 2011, 28: 2434–2444

    Article  Google Scholar 

  10. Yamanaka A, Aoko T, Ogawa S, et al. GPU-accelerated phase-field simulation of dendritic solidification in a binary alloy. J Crystal Growth, 2010, 1: 40–45

    Google Scholar 

  11. Takaki T, Yamanaka A, Nukada A, et al. Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer. International Conference for High Performance Computing, Networking, Storage and Analysis, 2011

    Google Scholar 

  12. Echebarria B, Folch R, Karma A, et al. Quantitative phase field modeling of alloy solidification. Phys Rev E, 2004; 6:601–604

    Google Scholar 

  13. Peter N. Glaskowsky. NVIDIA’s Fermi: The First Complete GPU Computing Architecture. NVIDIA Corporation White Paper, 2009

    Google Scholar 

  14. Sanders J, Kandrot E. CUDA by Example: An Introduction to General-Purpose GPU Programming. Beijing: China Machine Press, 2011

    Google Scholar 

  15. Losert W, Shi B Q, Cummins H Z. Cummins evolution of dendritic patterns during alloy solidification: Onset of the initial instability. Proc Natl Acad Sci USA, 1998, 95: 431–438

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to YanSu Hu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, A., Hu, Y., Wang, Z. et al. GPU-accelerated phase field simulation of directional solidification. Sci. China Technol. Sci. 57, 1191–1197 (2014). https://doi.org/10.1007/s11431-014-5541-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-014-5541-1

Keywords

Navigation