Large-scale adaptive mantle convection simulation
Large-scale adaptive mantle convection simulation
复制标题
大规模自适应地幔对流模拟
DOI：
10.1093/gji/ggs070
复制
发表时间：
2013
影响因子：
2.8
通讯作者：
O. Ghattas
中科院分区：
文献类型：
--
作者：
Carsten Burstedde;G. Stadler;L. Alisic;L. Wilcox;E. Tan;M. Gurnis;O. Ghattas
介绍了新一代并行自适应网格地幔对流代码Rhea，并对其进行了基准测试。Rhea的目标是在并行计算机上进行大规模的地幔对流模拟，因此在网格处理和数值解算器的计算效率和并行可扩展性方面有着很强的关注。rhe构建了一个并行的基于八叉树的自适应有限元库集合，支持新的分布式数据结构和并行算法，用于动态粗化、细化、再平衡和重新划分网格。在本研究中，我们演示了122,880个计算核的可扩展性，并验证了实现的正确性。利用三维基准问题和其他实验，给出了变粘度斯托克斯流和热对流的数值逼近性和收敛性。
SUMMARY A new generation, parallel adaptive-mesh mantle convection code, Rhea, is described and benchmarked. Rhea targets large-scale mantle convection simulations on parallel computers, andthushasbeendevelopedwithastrongfocusoncomputationalefficiencyandparallelscalabilityofbothmeshhandlingandnumericalsolvers.Rheabuildsmantleconvectionsolversona collection ofparallel octree-based adaptivefiniteelement librariesthatsupport new distributed data structures and parallel algorithms for dynamic coarsening, refinement, rebalancing and repartitioning of the mesh. In this study we demonstrate scalability to 122 880 compute cores and verify correctness of the implementation. We present the numerical approximation and convergence properties using 3-D benchmark problems and other tests for variable-viscosity Stokes flow and thermal convection.