Current applications in Computational and Data Science often require the solution of large and sparse linear systems. The notion of “large” is qualitative and there is a clear tendency to increase it; currently, needing to solve systems with millions or even billions of unknowns is not unusual.
MLD2P4: a Package of Parallel Algebraic MultiGrid Preconditioners for Scalable Linear Solvers
PSBLAS 3.6 - Sparse Matrices Computation & Iterative Solvers for HPC
This tutorial will address the basic functionalities of the PSBLAS library for the parallelization of computationally intensive scientific applications.