Towards a Three-Dimensional Parallel, Adaptive, Multilevel Solver for the Solution of Nonlinear, Time-Dependent, Phase-Change Problems

作者: A. M. Mullis , J.R. Green , P.K. Jimack

DOI:

关键词:

摘要: One of the fundamental open challenges that computational engineering practitioners continue to face is combining modern numerical algorithms, such as mesh adaptivity and efficient multilevel solvers, with a parallel implementation permits scalable performance on large numbers cores. The problems must be overcome include need maintain an effective load balance responds dynamically local refinement and/or coarsening, difficulty obtaining good efficiencies for those operations take place at coarsest levels solver. In this paper we report our ongoing research which seeks make progress towards resolving some these through application parallel, adaptive, approach solution highly challenging class phase-change involving very wide range length time scales. mathematical models seek solve form systems nonlinear, stiff, parabolic partial differential equations (PDEs) in three space dimensions. solutions PDEs require extremely high spatial resolution near moving interface so essential. Furthermore, stiffness implies implicit time-stepping used resulting nonlinear algebraic are solved using multigrid locally refined meshes. In first part provide details study, including their formulation, illustrate both adaptive fully time-stepping, even just two desire move dimensions provides primary motivation extending techniques architectures, forms substance second half paper. We introduce source software tool, PARAMESH [1], describe how have developed it allow its problems, use adaptively meshed dimensions, parallel. Initially simple linear model order begin assess software, followed by results computed PDE typical rapid solidification problem. concludes summary short description planned future work.

参考文章(38)
S. E. Battersby, R. F. Cochrane, A. M. Mullis, Microstructural evolution and growth velocity-undercooling relationships in the systems Cu, Cu-O and Cu-Sn at high undercooling Journal of Materials Science. ,vol. 35, pp. 1365- 1373 ,(2000) , 10.1023/A:1004782107849
Kevin Olson, PARAMESH Parallel Computational Fluid Dynamics 2005. pp. 341- 348 ,(2006) , 10.1016/B978-044452206-1/50041-0
Randolph E. Bank, Michael Holst, A New Paradigm for Parallel Adaptive Meshing Algorithms SIAM Journal on Scientific Computing. ,vol. 22, pp. 1411- 1443 ,(2000) , 10.1137/S1064827599353701
M. Costa Agra Mello, C. S. Kiminami, Undercoolability of copper bulk samples Journal of Materials Science Letters. ,vol. 8, pp. 1416- 1417 ,(1989) , 10.1007/BF00720207
William L. George, James A. Warren, A Parallel 3D Dendritic Growth Simulator Using the Phase-Field Method Journal of Computational Physics. ,vol. 177, pp. 264- 283 ,(2002) , 10.1006/JCPH.2002.7005
Nikolas Provatas, Nigel Goldenfeld, Jonathan Dantzig, Adaptive Mesh Refinement Computation of Solidification Microstructures Using Dynamic Data Structures Journal of Computational Physics. ,vol. 148, pp. 265- 290 ,(1999) , 10.1006/JCPH.1998.6122
A.M. Mullis, R.F. Cochrane, A phase field model for spontaneous grain refinement in deeply undercooled metallic melts Acta Materialia. ,vol. 49, pp. 2205- 2214 ,(2001) , 10.1016/S1359-6454(01)00133-1
Randolph E. Bank, Peter K. Jimack, A new parallel domain decomposition method for the adaptive finite element solution of elliptic partial differential equations Concurrency and Computation: Practice and Experience. ,vol. 13, pp. 327- 350 ,(2001) , 10.1002/CPE.569
S. A. Nadeem, P. K. Jimack, Parallel implementation of an optimal two level additive Schwarz preconditioner for the 3‐D finite element solution of elliptic partial differential equations International Journal for Numerical Methods in Fluids. ,vol. 40, pp. 1571- 1579 ,(2002) , 10.1002/FLD.413
Michael Griebel, Gerhard Zumbusch, Parallel multigrid in an adaptive PDE solver based on hashing and space-filling curves parallel computing. ,vol. 25, pp. 827- 843 ,(1999) , 10.1016/S0167-8191(99)00020-4