Jan 25, 2019 · In this paper we introduce a specialized version of MPIR applied to sparse linear systems when the inner solver is a Krylov-based method such as ...

Replace always (at every iteration): 2 SpMV per iteration and may deteriorate the convergence of the iteration. •. Replace periodically (every t ...

This work investigates the solution of sparse linear systems via iterative methods based on Krylov subspaces using a significant part of the SuiteSparse ...

Residual Replacement in Mixed-Precision Iterative Refinement for Sparse Linear Systems. H. Anzt, G. Flegar, V. Novakovic, E. Quintana-Ortí, and A. Tomás.

This paper reveals characteristics of mixed precision iterative refinement methods using Krylov subspace methods as inner solver. Download to read the full ...

It is shown that the IR methods exhibit different sensitivities to the conditioning of the problem and the size of the least-squares residual, which should be ...

Feb 6, 2023 · In this manuscript, we aim at improving with mixed precision the two traditional choices of solvers for the solution of large sparse linear ...

Oct 20, 2021 · The current paper analyzes the potential of using the mixed precision iterative refinement procedure to solve the systems of equations occurring ...

Sep 12, 2024 · This study investigates the iterative refinement method applied to the solution of linear discrete inverse problems by considering its ...

We investigate the potential of mixed-precision iterative refinement to enhance methods for sparse systems based on approximate sparse factorizations.