Graham Bennett Harper
Computational Mathematics
Computational Mathematics
Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1320
Biography
Graham’s primary interests are fluid problems, finite element discretizations, multiscale, and multigrid methods.
Education
- PhD in Mathematics – Colorado State University
- Advisor: James Liu
- Committee: Wolfgang Bangerth, Stephen Guzik, Simon Tavener, Yongcheng Zhou
- BS in Mathematics – Colorado State University-Pueblo
- Minors: Industrial Engineering, Honors, Leadership Studies
Publications
Sivasankaran Rajamanickam, Luc Berger-Vergiat, Erik Gunnar Boman, Vinh Quang Dang, Christian Alexander Glusa, Graham Bennett Harper, Jonathan J. Hu, Brian Michael Kelley, Kim Anne J. Liegeois, Jennifer Ann Loe, Christopher Siefert, Raymond S. Tuminaro, Ichitaro Yamazaki, (2022). Linear solvers Update ? TUG 2022 Trilinos User Group Meeting Document ID: 1664150
Graham Bennett Harper, Timothy Michael Wildey, (2022). Data Compression Techniques for Large-Scale Memory-Bound Finite Element Applications SIAM Mathematics of Data Science 2022 Document ID: 1630735
Jennifer Ann Loe, Graham Bennett Harper, (2022). Linear Solvers and Preconditioners EuroTUG 2022 Document ID: 1629447
Graham Bennett Harper, (2022). A Matrix-Free Approach to Smoothed Aggregation Algebraic Multigrid Wccm 2022 Document ID: 1573932
Graham Bennett Harper, (2022). A Matrix-Free Approach for Algebraic Multigrid Copper Mountain 2022 Document ID: 1494111
Graham Bennett Harper, (2022). A Matrix-Free Approach for Algebraic Multigrid SIAM Parallel Processing 2022 Document ID: 1470232
Graham Bennett Harper, (2021). A Matrix-Free Approach for Smoothed Aggregation Algebraic Multigrid Wccm-apcom 2022 Document ID: 1392689
Graham Bennett Harper, (2021). Non-Invasive Multigrid for Semi-Structured Grids 20th Copper Mountain Conference On Multigrid Methods (Virtual) https://www.osti.gov/search/identifier:1860309 Document ID: 1292081
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