Jacob B. Schroder  

Associate Professor  
Dept. of Mathematics and Statistics  
MSC01 1115  
University of New Mexico  
Albuquerque, NM 87131  
Email: jbschroder unm edu  
Google Scholar: https://goo.gl/ra23po  
Office: SMLC 332  
Phone: 5052772114 
Education :: Research :: Software :: Synergy
Education and Positions
Assistant Professor  Dept. of Mathematics and Statistics, UNM  2018Present 
Computational Mathematician  Lawrence Livermore National Lab  20132018 
Project lead for parallelintime with multigrid  
Member scalable linear solvers group (hypre)  
Postdoc  Lawrence Livermore National Lab  20112013 
Under Dr. R. Falgout  
Postdoc in Applied Math  University of Colorado, Boulder  20102011 
Under Profs. T. Manteuffel and S. McCormick  
Ph.D. in Computer Science  University of Illinois, UrbanaChampaign  20042010 
Generalizing Smoothed Aggregation AMG  
Under Prof. Luke Olson  
Rotary Scholar  Technical University of Munich, Germany  20032004 
B.S. in Computer ScienceMath  Furman University  19992003 
Research
My research interests are broadly in the areas of multigrid methods,
parallelintime methods, preconditioning, iterative methods, and
scientific machine learning. Current research directions include the following.
 Parallelintime algorithms for largescale simulations
 Parallel artificial neural network training algorithms, using multigrid and preconditioning concepts
 Generalized algebraic multigrid methods with adaptivity and improved coarsening and interpolation
 Communicationreducing algorithms for parallel algebraic multigrid
 Numerical software design targeting portability, speed, reproducibility, and easeofuse
Research Group
 David Vargas (PhD student). Research area: parallelintime for chaotic problems and parallelintime 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 spacetime 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 SpaceTime Solvers for Systems of PDEs. NSF DMS 2110917. $250K total, $152K total to UNM, 7/20216/2024.
 R. D. Falgout PI, CoPI: J. B. Schroder, Parallel Multigrid in Time and Space for ExtremeScale Computational Science. DOE Office of Science Base Program. $1,350K total, $210K total to UNM, 10/20209/2023.
 J. B. Schroder PI, CoPI: J. Chaudhry, MultigridReductioninTime for the Shallow Water Equations. DOE/Lawrence Livermore National Laboratory. $50K total to UNM, 1/20208/2020.
 J. B. Schroder PI, CoPI: J. Chaudhry, ParallelinTime Multigrid Methods for Hyperbolic Problems, with a Focus on the Shallow Water Equations. DOE/Lawrence Livermore National Laboratory. $70K total to UNM, 1/20191/2020.
Conference Funding
 B. Ong PI, CoPI: J.B. Schroder, Parallel Time Integration Summer School. Michigan Tech, Houghton, Michigan, June 2022. NSF CBMS Conference Award 1933342, $37K total.
 B. Ong PI, CoPI: J.B. Schroder, ParallelinTime Workshop. Michigan Tech, Houghton, Michigan, August 2021. NSF Conference Award 1945322, $25K total. Canceled and moved online due to COVID19.
Software

I am one of two lead developers for
XBraid,
an open source C/MPI implementation of the multigrid reduction in time
(MGRIT) methodology. It is a nonintrusive, scalable, and parallel
library for multigrid in time, with interfaces for C++, Fortran, and Python.

I am a codeveloper for
PyAMG, an open source
Python/C++ implementation of both classical algebraic multigrid and
smoothed aggregationbased algebraic multigrid. PyAMG has had thousands of
downloads from over a hundred countries.

I am a collaborator for
hypre,
an open source benchmark library of highperformance 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.
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Synergistic Activities
2015Present  Scientific committee for the ParallelinTime (PINT) Workshop Series.  
2021  Organizing committee for the 24th Annual AMG Summit. Held online due to COVID19, Oct 2021.  
2021  Organizing committee for the 10th ParallelinTime Workshop. Held online due to COVID19, Aug 2021.  
202021  Proceedings Editor for the 9th ParallelinTime Workshop, Proc. in Math. and Stat., Springer.  
2020  Organizing committee for the 9th ParallelinTime Workshop. Held online due to COVID19, June 2020.  
2020  Organizing committee for the 23rd Annual AMG Summit. Held online due to COVID19, Oct 2020.  
2019  Local Organizer for the 22nd Annual AMG Summit, Santa Fe, NM, Oct 2019.  
2017  Organizing committee for the 6th ParallelinTime Workshop, Monte Verita, Switzerland, 2017.  
20162017  Proceedings Editor for the 5th ParallelinTime 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 