Domain decomposition: parallel multilevel methods for elliptic partial differential equations
Domain decomposition: parallel multilevel methods for elliptic partial differential equations
A Neumann--Neumann Domain Decomposition Algorithm for Solving Plate and Shell Problems
SIAM Journal on Numerical Analysis
A Fully Asynchronous Multifrontal Solver Using Distributed Dynamic Scheduling
SIAM Journal on Matrix Analysis and Applications
MUMPS: A General Purpose Distributed Memory Sparse Solver
PARA '00 Proceedings of the 5th International Workshop on Applied Parallel Computing, New Paradigms for HPC in Industry and Academia
MUMPS: A General Purpose Distributed Memory Sparse Solver
PARA '00 Proceedings of the 5th International Workshop on Applied Parallel Computing, New Paradigms for HPC in Industry and Academia
A Flexible 2-Level Neumann-Neumann Method for Structural Analysis Problems
PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
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The European research project PARASOL aimed to design and develop a public domain library of scalable sparse matrix solvers for distributed memory computers. Parallab was a partner in the project and developed a domain decomposition code for solving large scale finite element problems in a robust, yet efficient way. Although the PARASOL project finished in June 1999, Parallab has continued the development of the solver. In this paper, we report on the present status of the solver and show its performance on some challenging industrial problems.