collaborators

5 papers

cs.SE2026

Reducing Data Movement in the Galerkin Product of Block Algebraic Multigrid on GPUs

Mark F. Adams

The Galerkin triple product dominates the recurring per-solve setup cost of algebraic multigrid (AMG). For AMG on systems of PDEs the product is a rectangular-block…

physics.plasm-ph2026

Fast solvers for Tokamak fluid models with PETSC

Mark F. Adams, Jin Chen, Benjamin Sturdevant

Multigrid (MG) is widely recognized as a highly effective solver for the model problem, the Laplacian, but textbook MG fails on most problems of interest. MG methods have been appl…

math.NA2026

Semi-Lagrangian Discontinuous Galerkin Method with Adaptive Mesh Refinement for the Vlasov--Poisson System in 1X+3V

Mark F. Adams

We extend the semi-Lagrangian discontinuous Galerkin (SLDG) method of Einkemmer to velocity grids with adaptive mesh refinement (AMR) and to three-dimensional velocity space. The o…

physics.plasm-ph2026

Structure preservation using discrete gradients in the Vlasov-Poisson-Landau system

Daniel S. Finn, Joseph V. Pusztay, Matthew G. Knepley +1

We present a novel structure-preserving framework for solving the Vlasov-Poisson-Landau system of equations using a particle in cell (PIC) discretization combined with discrete gra…

physics.plasm-ph2025

A projection method for particle resampling

Mark F. Adams, Daniel S. Finn, Matthew G. Knepley +1

Particle discretizations of partial differential equations are advantageous for high-dimensional kinetic models in phase space due to their better scalability than continuum approa…