Center for Computing Research (CCR)

Center for Computing Research

Jennifer Ann Loe

Jennifer Ann Loe
Scalable Algorithms
Email: jloe@sandia.gov
Phone: 505/844-8137

Mailing address:
Sandia National Laboratories
P.O. Box 5800, MS 1327
Albuquerque, NM
87185-1320

Jennifer first came to Sandia National Labs as a student intern in Summer 2017.  She then joined as a Postdoctoral Associate in January 2020.  Her research interests are in numerical linear algebra, Krylov solvers, polynomial preconditioning, communication-avoiding solvers, and multipecision solvers.  Her current work is funded by the ECP SAKE (Solvers and Kernels for Exascale) and Multiprecision projects.  She also helps to develop the Belos linear solvers package in the Trilinos software library.

Education/Background

  • Ph.D. Mathematics, Baylor University, 2020
    • Advisor: Ron Morgan
    • Thesis: Polynomial Preconditioning with the Minimum Residual Polynomial
  • M.S. Mathematics, Baylor University, 2018
  • B.S. Mathematics, Oklahoma Christian University, 2014
    • Minors: Computer Science and International Studies

Software

Selected Publications & Presentations

2021
  • Anzt, Hartwig, Jennifer Ann Loe, Sivasankaran Rajamanickam, "xSKD Focus Effort Developing Multiprecision Numerics," Poster, ECP Annual Meeting (virtual), April 2021.
  • Boman, Erik Gunnar, Daniel Robert William Bielich, Jennifer Ann Loe, Ichitaro Yamazaki, "PEEKS Overview," Presentation, ECP Annual Meeting in Virtual, April 2021.
  • Embree, Mark, Jennifer Ann Loe, Ronald Morgan, "Polynomial Preconditioned Arnoldi with Stability Control," Journal Article, SIAM Journal on Scientific Computing, Vol. 43, No. 1, pp. A1–A25, Accepted/Published January 2021.
  • Loe, Jennifer Ann, Christian Alexander Glusa, Ichitaro Yamazaki, Erik Gunnar Boman, Sivasankaran Rajamanickam, "Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs," Presentation, ASHES Workshop for IPDPS 2021 (Virtual), May 2021.
2020
  • Loe, Jennifer Ann, Heidi K. Thornquist, Erik Gunnar Boman, "Polynomial Preconditioned GMRES in Trilinos: Practical Considerations for High Performance Computing," Conference Paper, SIAM Conference on Parallel Processing in Seattle, WA, USA, February 2020.