Scalability of Finite Element Applications on Distributed-Memory Parallel Computers

Abstract

This paper demonstrates that scalability and competitive efficiency can be achieved for unstructured grid finite element applications on distributed memory machines, such as the Connection Machine CM-5 system. The efficiency of finite element solvers is analyzed through two applications: an implicit computational aerodynamics application and an explicit solid mechanics application. Scalability of mesh decomposition and data mapping strategies are also discussed. Numerical examples that support the claims for problems with an excess of fourteen million variables are presented.