Extending PSBLAS to build parallel schwarz preconditioners

Authors:
Alfredo Buttari;Pasqua D'Ambra;Daniela di Serafino;Salvatore Filippone
Affiliations:
Department of Mechanical Engineering, University of Rome “Tor Vergata”, Rome, Italy;Institute for High-Performance Computing and Networking, CNR, Naples, Italy;Department of Mathematics, Second University of Naples, Caserta, Italy;Department of Mechanical Engineering, University of Rome “Tor Vergata”, Rome, Italy
Venue:
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
Year:
2004

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Abstract

We describe some extensions to Parallel Sparse BLAS (PSBLAS), a library of routines providing basic Linear Algebra operations needed to build iterative sparse linear system solvers on distributed-memory parallel computers. We focus on the implementation of parallel Additive Schwarz preconditioners, widely used in the solution of linear systems arising from a variety of applications. We report a performance analysis of these PSBLAS-based preconditioners on test cases arising from automotive engine simulations. We also make a comparison with equivalent software from the well-known PETSc library.