2013Applied Mechanics and MaterialsOpen access

Parallelization Development Method and Realization for a FEM Simulation Program

Lei Zhang, Guo Xin Zhang, Yi Liu, Hai Lin Pan

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Abstract

The parallel computation of equation sets solution are crucial for finite element analysis. The paper discussed the key technology of FEM parallelization and the parallelization strategy for the FEM program is given; and then discussed the Data structure of Aztec and how to call Aztec which consists of Krylov subspace iterative methods solvers and preconditioners; finally, the realization and testing of the Aztec-based finite element program parallelization was put forward. Test results show that there are high efficiency of this method which make the SapTis software more powerful, flexible and adaptable.

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What this paper is about

The parallel computation of equation sets solution are crucial for finite element analysis. The paper discussed the key technology of FEM parallelization and the parallelization strategy for the FEM program is given; and then discussed the Data structure of Aztec and how to call Aztec which consists of Krylov subspace iterative methods solvers and preconditioners; finally, the realization and testing of the Aztec-based finite element program parallelization was put forward. Test results show that there are high efficiency of this method which make the SapTis software more powerful, flexible and adaptable.

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Available abstract

The parallel computation of equation sets solution are crucial for finite element analysis. The paper discussed the key technology of FEM parallelization and the parallelization strategy for the FEM program is given; and then discussed the Data structure of Aztec and how to call Aztec which consists of Krylov subspace iterative methods solvers and preconditioners; finally, the realization and testing of the Aztec-based finite element program parallelization was put forward. Test results show that there are high efficiency of this method which make the SapTis software more powerful, flexible and adaptable.

Key concepts: Realization (probability), Finite element method, Krylov subspace, Computer science, Computation, Subspace topology, Computational science, Parallel computing

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