Publication Date:
2006
abstract:
We describe some activities devoted to extending 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 extension
of PSBLAS functionalities for implementing parallel Additive Schwarz
preconditioners, that are widely used in the solution of linear systems
arising from a variety of applications. An analysis of the performance
of PSBLAS-based Additive Schwarz preconditioners with Krylov solvers is
reported, that has been carried out on test matrices arising from
automotive engine simulations. Some comparisons with Additive Schwarz
preconditioners implemented in the well-known PETSc library are also shown.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
List of contributors:
D'Ambra, Pasqua
Book title:
Applied Parallel Computing. State of the Art in Scientific Computing 7th International Workshop, PARA 2004, Lyngby, Denmark, June 20-23, 2004. Revised Selected Papers