A PARALLEL GEOMETRIC MULTIGRID METHOD FOR FINITE ELEMENTS ON OCTREE MESHES

被引:52
|
作者
Sampath, Rahul S. [1 ]
Biros, George [2 ,3 ,4 ]
机构
[1] Georgia Inst Technol, Sch Computat Sci & Engn, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Dept Biomed Engn, Atlanta, GA 30332 USA
[3] Georgia Inst Technol, Sch Computat Sci, Atlanta, GA 30332 USA
[4] Georgia Inst Technol, Div Engn, Atlanta, GA 30332 USA
来源
SIAM JOURNAL ON SCIENTIFIC COMPUTING | 2010年 / 32卷 / 03期
基金
美国国家科学基金会;
关键词
geometric multigrid; meshing; finite element method; linear octrees; adaptive meshes; matrix-free methods; iterative solvers; parallel algorithms; tree codes; MULTILEVEL METHODS; EQUATIONS; SOLVER; CONVERGENCE; CONSTRUCTION;
D O I
10.1137/090747774
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this article, we present a parallel geometric multigrid algorithm for solving variable-coefficient elliptic partial differential equations on the unit box (with Dirichlet or Neumann boundary conditions) using highly nonuniform, octree-based, conforming finite element discretizations. Our octrees are 2:1 balanced, that is, we allow no more than one octree-level difference between octants that share a face, edge, or vertex. We describe a parallel algorithm whose input is an arbitrary 2:1 balanced fine-grid octree and whose output is a set of coarser 2:1 balanced octrees that are used in the multigrid scheme. Also, we derive matrix-free schemes for the discretized finite element operators and the intergrid transfer operations. The overall scheme is second-order accurate for sufficiently smooth right-hand sides and material properties; its complexity for nearly uniform trees is O((N)(np) log (N)(np)) + O(n(p) log n(p)), where N is the number of octree nodes and np is the number of processors. Our implementation uses the Message Passing Interface standard. We present numerical experiments for the Laplace and Navier (linear elasticity) operators that demonstrate the scalability of our method. Our largest run was a highly nonuniform, 8-billion-unknown, elasticity calculation using 32,000 processors on the Teragrid system, "Ranger," at the Texas Advanced Computing Center. Our implementation is publically available in the Dendro library, which is built on top of the PETSc library from Argonne National Laboratory.
引用
收藏
页码:1361 / 1392
页数:32
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