Polynomial Preconditioned GMRES to Reduce Communication in Parallel Computing. - Jennifer A. Loe; Heidi K. Thornquist; Erik G. Boman (CoRR, 2019)

New Polynomial Preconditioned GMRES. - Jennifer A. Loe; Ronald B. Morgan (CoRR, 2019)

Polynomial Preconditioned GMRES in Trilinos: Practical Considerations for High-Performance Computing. - Jennifer A. Loe; Heidi K. Thornquist; Erik G. Boman (PP, 2020)

A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. - Ahmad Abdelfattah; Hartwig Anzt; Erik G. Boman; Erin C. Carson; Terry Cojean; Jack J. Dongarra; Mark Gates; Thomas Grützmacher; Nicholas J. Higham; Xiaoye Sherry Li; Neil Lindquist; Yang Liu 179; et al. (CoRR, 2020)

Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs. - Jennifer A. Loe; Christian A. Glusa; Ichitaro Yamazaki; Erik G. Boman; Sivasankaran Rajamanickam (IPDPS Workshops, 2021)

A Study of Mixed Precision Strategies for GMRES on GPUs. - Jennifer A. Loe; Christian A. Glusa; Ichitaro Yamazaki; Erik G. Boman; Sivasankaran Rajamanickam (CoRR, 2021)

A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. - Ahmad Abdelfattah; Hartwig Anzt; Erik G. Boman; Erin C. Carson; Terry Cojean; Jack J. Dongarra; Alyson Fox; Mark Gates; Nicholas J. Higham; Xiaoye S. Li; Jennifer A. Loe; Piotr Luszczek; et al. (Int. J. High Perform. Comput. Appl., 2021)

Polynomial Preconditioned Arnoldi with Stability Control. - Mark Embree; Jennifer A. Loe; Ronald B. Morgan (SIAM J. Sci. Comput., 2021)

High-Performance GMRES Multi-Precision Benchmark: Design, Performance, and Challenges. - Ichitaro Yamazaki; Christian Glusa; Jennifer A. Loe; Piotr Luszczek; Sivasankaran Rajamanickam; Jack J. Dongarra (PMBS@SC, 2022)

Toward efficient polynomial preconditioning for GMRES. - Jennifer A. Loe; Ronald B. Morgan (Numer. Linear Algebra Appl., 2022)

Fast Spectral Graph Partitioning with a Randomized Eigensolver. - Heliezer J. D. Espinoza; Jennifer A. Loe; Erik G. Boman (HPEC, 2023)