Publications

Loe, J.A., Boman, E.G., Espinoza, H.J.D., Glusa, C., Harper, G.B., Higgins, A.J., Rajamanickam, S., Siefert, C., Switzer, H.M., Szyld, D., Tuminaro, R.S., Yamazaki, I., & Yamazaki, I. (2023). New Linear Solvers Features and Improvements in Trilinos [Conference Presenation]. 10.2172/2463061

Yamazaki, I., Loe, J.A., Glusa, C., Rajamanickam, S., Luszczek, P., Dongarra, J., & Dongarra, J. (2023). High-Performance GMRES Multi-Precision Benchmark [Conference Presenation]. 10.2172/2431881

Yamazaki, I., Loe, J.A., Glusa, C., Rajamanickam, S., Luszczek, P., Dongarra, J., & Dongarra, J. (2022). High-Performance GMRES Multi-Precision Benchmark [Conference Presenation]. 10.2172/2006086

Loe, J.A., Harper, G.B., & Harper, G.B. (2022). Linear Solvers and Preconditioners [Conference Presenation]. 10.2172/2004808

Loe, J.A., Morgan, R.B., & Morgan, R.B. (2022). Toward efficient polynomial preconditioning for GMRES. Numerical Linear Algebra with Applications, 29(4). 10.1002/nla.2427

Loe, J.A., Espinoza, H.J.D., Boman, E.G., & Boman, E.G. (2022). Randomized Spectral Graph Partitioning [Conference Presenation]. 10.2172/2003957

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2022). Mixed Precision Strategies for GMRES in TrilinosJennifer [Presentation]. https://www.osti.gov/biblio/2003637

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., Rajamanickam, S., Morgan, R., & Morgan, R. (2022). Polynomial Preconditioning GMRES with Mixed Precisions [Conference Presenation]. https://www.osti.gov/biblio/2003557

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2022). Polynomial Preconditioning GMRES with Mixed Precisions [Conference Presenation]. https://doi.org/10.2172/2003462

Loe, J.A., Morgan, R., Embree, M., Boman, E.G., Thornquist, H.K., & Thornquist, H.K. (2022). Polynomial Preconditioning with the GMRES Polynomial [Conference Presenation]. 10.2172/2003457

Berger-Vergiat, L., Rajamanickam, S., Loe, J.A., Kelley, B.M., Harvey, E.C., Foucar, J.G., Ellingwood, N.D., Dang, V.Q., Liegeois, K.A.J., Pearson, C., & Pearson, C. (2022). Kokkos Kernels Math Library [Conference Presenation]. 10.2172/2003140

Berger-Vergiat, L., Rajamanickam, S., Dang, V.Q., Kelley, B.M., Ellingwood, N.D., Loe, J.A., Harvey, E.C., Pearson, C., Foucar, J.G., Liegeois, K.A.J., & Liegeois, K.A.J. (2022). Kokkos Kernels (Sake project) [Conference Poster]. 10.2172/2003182

Loe, J.A., Anzt, H., & Anzt, H. (2022). xSDK Focus Effort Developing Multiprecision Numerics [Conference Poster]. 10.2172/2002324

Espinoza, H.J.D., Loe, J.A., Boman, E.G., & Boman, E.G. (2022). Randomized Cholesky Preconditioning for Graph Partitioning Applications. 10.2172/1843910

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2022). Mixed Precision Strategies for GMRES [Conference Presenation]. 10.2172/2001827

Espinoza, H.J.D., Loe, J.A., Boman, E.G., & Boman, E.G. (2022). Randomized Cholesky Preconditioning for Graph Partitioning Applications. 10.2172/1840649

Yamazaki, I., Glusa, C., Loe, J.A., Luszczek, P., Rajamanickam, S., Dongarra, J., & Dongarra, J. (2022). High-Performance GMRES Multi-Precision Benchmark: Design, Performance, and Challenges [Conference Paper]. Proceedings of PMBS 2022: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis. 10.1109/PMBS56514.2022.00015

Loe, J.A. (2021). Mixed Precision Krlyov Slide for ECP Review [Presentation]. https://www.osti.gov/biblio/1900570

Loe, J.A., Rajamanickam, S., & Rajamanickam, S. (2021). Mixed Precision in Trilinos [Conference Presenation]. 10.2172/1900352

Abdelfattah, A., Anzt, H., Ayala, A., Boman, E.G., Carson, E.C., Cayrols, S., Cojean, T., Dongarra, J.J., Falgout, R., Gates, M., G, R., Higham, N.J., Kruger, S.E., Li, S., Lindquist, N., Liu, Y., Loe, J.A., Nayak, P., Osei-Kuffuor, D., … Yang, U.M. (2021). Advances in Mixed Precision Algorithms: 2021 Edition. 10.2172/1814447

Loe, J.A. (2021). An Introduction to Trilinos [Presentation]. https://www.osti.gov/biblio/1884905

Loe, J.A. (2021). Using Multiple Precisions in the GMRES Linear Solver [Presentation]. https://www.osti.gov/biblio/1884904

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2021). Properties of GMRES with Iterative Refinement on GPUs [Conference Presenation]. 10.2172/1884157

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2021). Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs [Conference Presenation]. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2021 - In conjunction with IEEE IPDPS 2021. 10.2172/1869548

Loe, J.A., Boman, E.G., & Boman, E.G. (2021). Polynomial Preconditioned GMRES for GPU Computing [Conference Presenation]. 10.2172/1870091

Loe, J.A., Boman, E.G., & Boman, E.G. (2021). Polynomial Preconditioning in Trilinos [Conference Presenation]. 10.2172/1863700

Loe, J.A. (2021). Incorporating Multiple Compute Precisions into the GMRES Linear Solver [Presentation]. https://www.osti.gov/biblio/1866721

Boman, E.G., Bielich, D.R.W., Loe, J.A., Yamazaki, I., & Yamazaki, I. (2021). PEEKS Overview [Presentation]. https://www.osti.gov/biblio/1863514

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2021). Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs [Conference Paper]. 10.1109/IPDPSW52791.2021.00078

Anzt, H., Loe, J.A., Rajamanickam, S., & Rajamanickam, S. (2021). xSDK Focus Effort Developing Multiprecision Numerics [Conference Poster]. 10.2172/1856293

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2021). Multiprecision Krylov Solvers in Kokkos and Belos [Conference Presenation]. 10.2172/1854310

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. 10.1137/19m1302430

Loe, J.A., Rajamanickam, S., Boman, E.G., Anzt, H., & Anzt, H. (2020). ECP Multiprecision Project Review Slides [Presentation]. https://www.osti.gov/biblio/1835661

Antz, H., Boman, E.G., Gates, M., Kruger, S., Li, S., Loe, J.A., Osei-Kuffuor, D., Tomov, S., Tsai, Y.M., Meier Yang, U., & Meier Yang, U. (2020). Towards Use of Mixed Precision in ECP Math Libraries [Exascale Computing Project]. 10.2172/1735694

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., Rajamanickam, S., & Rajamanickam, S. (2020). Mixed-Precision GMRES in Trilinos [Conference Presenation]. 10.2172/1833786

Loe, J.A., Glusa, C., Boman, E.G., Yamazaki, I., Rajamanickam, S., & Rajamanickam, S. (2020). Multiprecision GMRES in Trilinos packages Belos and Kokkos [Conference Presenation]. 10.2172/1832692

Loe, J.A. (2020). Linear Solvers and Computing: Behind the Scenes [Presentation]. https://www.osti.gov/biblio/1831351

Loe, J.A., Glusa, C., Boman, E.G., Yamazaki, I., Rajamanickam, S., & Rajamanickam, S. (2020). Multiprecision Krylov Solvers in Trilinos [Presentation]. https://www.osti.gov/biblio/1829961

Loe, J.A. (2020). Jennifer Loe - Rising Stars Presentation [Conference Presenation]. 10.2172/1826444

Loe, J.A., Thornquist, H.K., Boman, E.G., & Boman, E.G. (2020). Polynomial Preconditioned GMRES in Trilinos: Practical Considerations for High Performance Computing [Conference Poster]. 10.1137/1.9781611976137.4

Loe, J.A., Thornquist, H.K., Boman, E.G., & Boman, E.G. (2019). Polynomial Preconditioning for Avoiding Communication in GMRES [Conference Poster]. https://www.osti.gov/biblio/1641026