PRECONDITIONING FINITE-ELEMENT SUBSURFACE FLOW SOLUTIONS ON DISTRIBUTED-MEMORY PARALLEL COMPUTERS

被引:1
作者
BINLEY, AM
MURPHY, MF
机构
[1] Centre for Research on Environmental Systems, Lancaster University, Lancaster
[2] Department of Mathematics, Lancaster University, Lancaster
关键词
PARALLEL COMPUTING; GROUNDWATER FLOW; FINITE ELEMENT METHOD; CONJUGATE GRADIENT METHOD; ELEMENT-BY-ELEMENT PRECONDITIONING;
D O I
10.1016/0309-1708(93)90037-G
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Due to their low cost and high expansion capabilities, distributed memory parallel computers, consisting of relatively large arrays of processor elements with local memory, offer great potential for solving large scale three-dimensional subsurface flow problems. We consider here two possible solution methods for such detailed modelling using the finite element method. One is based on the commonly used diagonally scaled conjugate gradient method. The other uses an element-by-element preconditioner in the conjugate gradient method which exploits the natural parallelism in the finite element method. Results using both methods are documented for saturated and variably saturated flow simulations carried out on a single Intel i860 processor and an array of Inmos transputer/Intel i860 processors at Lancaster.
引用
收藏
页码:191 / 202
页数:12
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