English

Polynomial Preconditioned GMRES to Reduce Communication in Parallel Computing

Numerical Analysis 2019-10-29 v2 Numerical Analysis

Abstract

Polynomial preconditioning with the GMRES minimal residual polynomial has the potential to greatly reduce orthogonalization costs, making it useful for communication reduction. We implement polynomial preconditioning in the Belos package from Trilinos and show how it can be effective in both serial and parallel implementations. We further show it is a communication-avoiding technique and is a viable option to CA-GMRES for large-scale parallel computing.

Cite

@article{arxiv.1907.00072,
  title  = {Polynomial Preconditioned GMRES to Reduce Communication in Parallel Computing},
  author = {Jennifer A. Loe and Heidi K. Thornquist and Erik G. Boman},
  journal= {arXiv preprint arXiv:1907.00072},
  year   = {2019}
}
R2 v1 2026-06-23T10:07:14.031Z