Jennifer Ann Loe

Scalable Algorithms

Author profile picture

Scalable Algorithms

jloe@sandia.gov

(505) 844-8137

Sandia National Laboratories, New Mexico
 P.O. Box 5800
 Albuquerque, NM 87185-1327

Biography

Jennifer Loe is a Senior Member of Technical Staff at Sandia National Laboratories.  She completed her Ph.D. in mathematics at Baylor University in December 2019.  In January 2020, she became a postdoc in the Scalable Algorithms department at Sandia and converted to full staff in February 2022.  Jennifer primarily works in numerical linear algebra, with a focus on Krylov solvers for sparse linear systems.  She is a developer of the Belos package for iterative linear solvers in Trilinos and has also contributed to Kokkos Kernels.  Her research interests include GMRES, polynomial preconditioning, communication-avoiding solvers, and mixed-pecision solvers. When not at work, she enjoys visiting the zoo and aquarium, speaking in Toastmasters, and volunteering for Big Brothers, Big Sisters.

Education

  • 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

Publications

  • Loe, J.A., Morgan, R.B., & Morgan, R.B. (2022). Toward efficient polynomial preconditioning for GMRES. Numerical Linear Algebra with Applications, 29(4). https://doi.org/10.1002/nla.2427 Publication ID: 77199
  • Espinoza, H., Loe, J.A., Boman, E., & Boman, E. (2022). Randomized Cholesky Preconditioning for Graph Partitioning Applications. https://doi.org/10.2172/1843910 Publication ID: 80353
  • Espinoza, H., Loe, J.A., Boman, E., & Boman, E. (2022). Randomized Cholesky Preconditioning for Graph Partitioning Applications. https://doi.org/10.2172/1840649 Publication ID: 79957
  • Loe, J.A. (2021). Mixed Precision Krlyov Slide for ECP Review [Presentation]. https://www.osti.gov/biblio/1900570 Publication ID: 76998
  • Loe, J.A., Rajamanickam, S., & Rajamanickam, S. (2021). Mixed Precision in Trilinos [Conference Presenation]. https://doi.org/10.2172/1900352 Publication ID: 76971
  • Abdelfattah, A., Anzt, H., Ayala, A., Boman, E., Carson, E., Cayrols, S., Cojean, T., Dongarra, J., Falgout, R., Gates, M., Gr\”{u}tzmacher, T., Higham, N., Kruger, S., Li, S., Lindquist, N., Liu, Y., Loe, J.A., Nayak, P., Osei-Kuffuor, D., … Yang, U. (2021). Advances in Mixed Precision Algorithms: 2021 Edition. https://doi.org/10.2172/1814447 Publication ID: 75285
  • Loe, J.A. (2021). Using Multiple Precisions in the GMRES Linear Solver [Presentation]. https://www.osti.gov/biblio/1884904 Publication ID: 75445
  • Loe, J.A. (2021). An Introduction to Trilinos [Presentation]. https://www.osti.gov/biblio/1884905 Publication ID: 75446
  • Loe, J.A., Glusa, C., Yamazaki, I., Boman, E., Rajamanickam, S., & Rajamanickam, S. (2021). Properties of GMRES with Iterative Refinement on GPUs [Conference Presenation]. https://doi.org/10.2172/1884157 Publication ID: 79139
  • Loe, J.A., Glusa, C., Yamazaki, I., Boman, E., Rajamanickam, S., & Rajamanickam, S. (2021). Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs [Conference Paper]. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 – In conjunction with IEEE IPDPS 2021. https://doi.org/10.1109/IPDPSW52791.2021.00078 Publication ID: 77887
  • Loe, J.A., Glusa, C., Yamazaki, I., Boman, E., Rajamanickam, S., & Rajamanickam, S. (2021). Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs [Conference Presenation]. https://doi.org/10.2172/1869548 Publication ID: 78515
  • Loe, J.A., Boman, E., & Boman, E. (2021). Polynomial Preconditioned GMRES for GPU Computing [Conference Presenation]. https://doi.org/10.2172/1870091 Publication ID: 78580
  • Loe, J.A., Boman, E., & Boman, E. (2021). Polynomial Preconditioning in Trilinos [Conference Presenation]. https://doi.org/10.2172/1863700 Publication ID: 78096
  • Boman, E., Bielich, D., Loe, J.A., Yamazaki, I., & Yamazaki, I. (2021). PEEKS Overview [Presentation]. https://www.osti.gov/biblio/1863514 Publication ID: 78060
  • Loe, J.A. (2021). Incorporating Multiple Compute Precisions into the GMRES Linear Solver [Presentation]. https://www.osti.gov/biblio/1866721 Publication ID: 78333
  • Anzt, H., Loe, J.A., Rajamanickam, S., & Rajamanickam, S. (2021). xSDK Focus Effort Developing Multiprecision Numerics [Conference Poster]. https://doi.org/10.2172/1856293 Publication ID: 77691
  • Loe, J.A., Glusa, C., Yamazaki, I., Boman, E., Rajamanickam, S., & Rajamanickam, S. (2021). Multiprecision Krylov Solvers in Kokkos and Belos [Conference Presenation]. https://doi.org/10.2172/1854310 Publication ID: 77452
  • EMBREE, M., Loe, J.A., MORGAN, R., & MORGAN, R. (2021). Polynomial preconditioned arnoldi with stability control. SIAM Journal on Scientific Computing, 43(1), pp. A1-A25. https://doi.org/10.1137/19m1302430 Publication ID: 71029
  • Loe, J.A., Rajamanickam, S., Boman, E., Anzt, H., & Anzt, H. (2020). ECP Multiprecision Project Review Slides [Presentation]. https://www.osti.gov/biblio/1835661 Publication ID: 72171
  • Antz, H., Boman, E., Gates, M., Kruger, S., Li, S., Loe, J.A., Osei-Kuffuor, D., Tomov, S., Tsai, Y., Meier Yang, U., & Meier Yang, U. (2020). Towards Use of Mixed Precision in ECP Math Libraries [Exascale Computing Project]. https://doi.org/10.2172/1735694 Publication ID: 72172
  • Loe, J.A., Glusa, C., Yamazaki, I., Boman, E., Rajamanickam, S., & Rajamanickam, S. (2020). Mixed-Precision GMRES in Trilinos [Conference Presenation]. https://doi.org/10.2172/1833786 Publication ID: 71988
  • Loe, J.A. (2020). Linear Solvers and Computing: Behind the Scenes [Presentation]. https://www.osti.gov/biblio/1831351 Publication ID: 71733
  • Loe, J.A., Glusa, C., Boman, E., Yamazaki, I., Rajamanickam, S., & Rajamanickam, S. (2020). Multiprecision Krylov Solvers in Trilinos [Presentation]. https://www.osti.gov/biblio/1829961 Publication ID: 71611
  • Loe, J.A., Glusa, C., Boman, E., Yamazaki, I., Rajamanickam, S., & Rajamanickam, S. (2020). Multiprecision GMRES in Trilinos packages Belos and Kokkos [Conference Presenation]. https://doi.org/10.2172/1832692 Publication ID: 71889
  • Loe, J.A. (2020). Jennifer Loe – Rising Stars Presentation [Conference Presenation]. https://doi.org/10.2172/1826444 Publication ID: 71276
  • Loe, J.A., Thornquist, H., Boman, E., & Boman, E. (2020). Polynomial Preconditioned GMRES in Trilinos: Practical Considerations for High Performance Computing [Conference Poster]. https://doi.org/10.1137/1.9781611976137.4 Publication ID: 72514
  • Loe, J.A., Thornquist, H., Boman, E., & Boman, E. (2019). Polynomial Preconditioning for Avoiding Communication in GMRES [Conference Poster]. https://www.osti.gov/biblio/1641026 Publication ID: 69529
Showing 10 of 27 publications.

Software

Trilinos