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Transactions: WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS
Transactions ID Number: 53-209
Full Name: Siroj Tungkahotara
Position: Engineer
Age: ON
Sex: Male
Address: 3311 Edenborn Ave Apt 216 Metairie, LA 70002
Country: UNITED STATES
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E-mail address: sirojt@gmail.com
Other E-mails: s.tungkahotara@incainc.com
Title of the Paper: Parallel-Sparse Symmetrical/Unsymmetrical Finite Element Domain Decomposition Solver with Multi-Point Constraints for Structural/Acoustic Analysis
Authors as they appear in the Paper: Siroj Tungkahotara, Willie R. Watson, Duc T. Nguyen, Subramaniam D. Rajan
Email addresses of all the authors: s.tungkahotara@incainc.com, willie.r.watson@nasa.gov, dnguyen@odu.edu, s.rajan@asu.edu
Number of paper pages: 11
Abstract: Details of parallel-sparse Domain Decomposition (DD) with multi-point constraints (MPC) formulation are explained. Major computational components of the DD formulation are identified. Critical roles of parallel (direct) sparse and iterative solvers with MPC are discussed within the framework of DD formulation. Both symmetrical and unsymmetrical system of simultaneous linear equations (SLE) can be handled by the developed DD formulation. For symmetrical SLE, option for imposing MPC equations is also provided. Large-scale (up to 25 million unknowns involving complex numbers) structural and acoustic Finite Element (FE) analysis are used to evaluate the parallel computational performance of the proposed DD implementation using different parallel computer platforms. Numerical examples show that the authors' MPI/FORTRAN code is significantly faster than the commercial parallel sparse solver. Furthermore, the developed software can also conveniently and efficiently solve!
large SLE with MPCs, a feature not available in almost all commercial parallel sparse solvers.
Keywords: Domain Decomposition Solver, Multi-Point Constraints, Parallel Computation, Symmetrical/Unsymmetrical Simultaneous Linear Equation, Finite Element Analysis, Acoustic/Structural Engineering Applications, Iterative Algorithms, Sparse Assembly, Sparse Factorization.
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