Blogentry
Guest professor Jacob Schroder
Prof. Schroder was a Rotary Scholar in 2003-2004 after completing his Bachelor's degree in the USA andas such has already spent an extended period in Germany, namely at the Technical University of Munich. He did his PhD on Generalized Smoothed Aggregation Algebraic Multigrid (AMG) with Luke Olson at the University of Illinois Urbana-Champaign before moving to the University of Colorado, Denver, and then to the Lawrence Livermore National Lab in California as a postdoc. There, he held the position of "Computational Mathematician" from 2013-2018. Since 2018, he is a professor in the Department of Mathematics and Statistics at the University of New Mexico in Albuquerqu
His research interests lie 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
Last modified: 11.12.2023