The PSBLAS library, developed with the aim to facilitate the parallelization
of computationally intensive scientific applications,
is designed to address parallel implementation of iterative solvers for sparse
linear systems through the distributed memory paradigm.
It includes routines for multiplying sparse matrices by dense matrices,
solving block diagonal systems with triangular diagonal entries,
preprocessing sparse matrices, and contains additional routines for
dense matrix operations.
The current implementation of PSBLAS addresses a distributed memory execution
model operating with message passing.
