Jacob B. Schroder  

Assistant Professor  
Dept. of Mathematics and Statistics  
University of New Mexico  
310 SMLC  
Albuquerque, NM 87131  
Email: jbschroder unm edu  
Office: SMLC 332 
Education :: Research :: Software :: Synergy
Education and Positions
Assistant Professor  Dept. of Mathematics and Statistics, UNM  2018Present 
Staff  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 Areas
 Computational science, numerical analysis, highperformance parallel computing
 Iterative methods, preconditioning, multigrid
 Numerical PDEs, highorder methods
Research Directions
 Parallelintime algorithms for largescale simulations
 Generalized algebraic multigrid methods with adaptivity and improved coarsening and interpolation
 Parallel artificial neural network training algorithms, using multigrid and preconditioning concepts
 Communicationreducing algorithms for parallel algebraic multigrid
 Numerical software design targeting portability, speed, reproducibility and easeofuse
Software

I am the maintainer of
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.

I am a developer 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 developer for
hypre,
an open source benchmark library of highperformance preconditioners
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
2020  Local organizing committee for the 9th ParallelinTime Workshop, Michigan Tech, 2020  
2015Present  Scientific committee for the ParallelinTime (PINT) Workshop Series  
20162017  Local organizing committee for the 6th ParallelinTime Workshop, Monte Verita, Switzerland, 2017  
20162017  Guest editor for the proceedings of 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.) 
Last updated 2018