|Jacob B. Schroder|
|Dept. of Mathematics and Statistics|
|University of New Mexico|
|Albuquerque, NM 87131|
|Email: jbschroder unm edu|
|Google Scholar: https://goo.gl/ra23po|
|Office: SMLC 332|
Education and Positions
|Assistant Professor||Dept. of Mathematics and Statistics, UNM||2018-Present|
|Computational Mathematician||Lawrence Livermore National Lab||2013-2018|
|Project lead for parallel-in-time with multigrid|
|Member scalable linear solvers group (hypre)|
|Postdoc||Lawrence Livermore National Lab||2011-2013|
|Under Dr. R. Falgout|
|Postdoc in Applied Math||University of Colorado, Boulder||2010-2011|
|Under Profs. T. Manteuffel and S. McCormick|
|Ph.D. in Computer Science||University of Illinois, Urbana-Champaign||2004-2010|
|Generalizing Smoothed Aggregation AMG|
|Under Prof. Luke Olson|
|Rotary Scholar||Technical University of Munich, Germany||2003-2004|
|B.S. in Computer Science-Math||Furman University||1999-2003|
My research interests are broadly in the areas of multigrid methods, parallel-in-time methods, preconditioning, iterative methods, and scientific machine learning. Current research directions include the following.
- Parallel-in-time algorithms for large-scale simulations
- Parallel artificial neural network training algorithms, using multigrid and preconditioning concepts
- Generalized algebraic multigrid methods with adaptivity and improved coarsening and interpolation
- Communication-reducing algorithms for parallel algebraic multigrid
- Numerical software design targeting portability, speed, reproducibility, and ease-of-use
- David Vargas (PhD student). Research area: parallel-in-time for chaotic problems and parallel-in-time for optimizatiom and machine learning.
- Gary Saavedra (PhD student). Research area: scientific machine learning.
- Ahsan Ali (PhD student). Research area: algebraic multigrid solvers for hyperbolic space-time problems.
- Masumi Sugiyama (Masters graduated). Optimal relaxation parameters for multigrid reduction in time. Currently PhD student at University of Tennessee, Chattanooga.
- Nicholas Abel (Masters graduated). Multigrid reduction in time and asymptotic approximations for the shallow water equations. Currently PhD student at the Barcelona Center for Supercomputing.
Research Funding since at UNM
- J. B. Brannick and J. B. Schroder PIs, Collaborative Research: Parallel Space-Time Solvers for Systems of PDEs. NSF DMS 2110917. $250K total, $152K total to UNM, 7/2021-6/2024.
- R. D. Falgout PI, Co-PI: J. B. Schroder, Parallel Multigrid in Time and Space for Extreme-Scale Computational Science. DOE Office of Science Base Program. $1,350K total, $210K total to UNM, 10/2020-9/2023.
- J. B. Schroder PI, Co-PI: J. Chaudhry, Multigrid-Reduction-in-Time for the Shallow Water Equations. DOE/Lawrence Livermore National Laboratory. $50K total to UNM, 1/2020-8/2020.
- J. B. Schroder PI, Co-PI: J. Chaudhry, Parallel-in-Time Multigrid Methods for Hyperbolic Problems, with a Focus on the Shallow Water Equations. DOE/Lawrence Livermore National Laboratory. $70K total to UNM, 1/2019-1/2020.
- B. Ong PI, Co-PI: J.B. Schroder, Parallel Time Integration Summer School. Michigan Tech, Houghton, Michigan, June 2022. NSF CBMS Conference Award 1933342, $37K total.
- B. Ong PI, Co-PI: J.B. Schroder, Parallel-in-Time Workshop. Michigan Tech, Houghton, Michigan, August 2021. NSF Conference Award 1945322, $25K total. Canceled and moved online due to COVID-19.
I am one of two lead developers for
an open source C/MPI implementation of the multigrid reduction in time
(MGRIT) methodology. It is a non-intrusive, scalable, and parallel
library for multigrid in time, with interfaces for C++, Fortran, and Python.
I am a co-developer for
PyAMG, an open source
Python/C++ implementation of both classical algebraic multigrid and
smoothed aggregation-based algebraic multigrid. PyAMG has had thousands of
downloads from over a hundred countries.
I am a collaborator for
an open source benchmark library of high-performance preconditioners from Lawrence Livermore
National Lab that features parallel multigrid methods for both structured and
unstructured grid problems. Hypre has had thousands of downloads from
over a hundred countries.
|2015-Present||Scientific committee for the Parallel-in-Time (PINT) Workshop Series.|
|2021||Organizing committee for the 24th Annual AMG Summit. Held online due to COVID-19, Oct 2021.|
|2021||Organizing committee for the 10th Parallel-in-Time Workshop. Held online due to COVID-19, Aug 2021.|
|2020-21||Proceedings Editor for the 9th Parallel-in-Time Workshop, Proc. in Math. and Stat., Springer.|
|2020||Organizing committee for the 9th Parallel-in-Time Workshop. Held online due to COVID-19, June 2020.|
|2020||Organizing committee for the 23rd Annual AMG Summit. Held online due to COVID-19, Oct 2020.|
|2019||Local Organizer for the 22nd Annual AMG Summit, Santa Fe, NM, Oct 2019.|
|2017||Organizing committee for the 6th Parallel-in-Time Workshop, Monte Verita, Switzerland, 2017.|
|2016-2017||Proceedings Editor for the 5th Parallel-in-Time Workshop, Comput. Vis. Sci., Springer.|
|Memberships||SIAM, SIAG on Computational Science and Engineering|
|Reviewer||SISC (SIAM J. Sci. Comput.), SINUM (SIAM J. Numer. Anal.),|
|SIMAX (SIAM J. Matrix Anal. Appl.), NLAA (Numer. Linear Algebra Appl.),|
|ETNA (Elect. Trans. Numer. Anal.),|
|ACM TOMS (ACM Trans. Math. Software)|
|Invited Grant Reviewer||DOE Office of Science 2019, 2021|