Simulations of plasmas and fluids using anti-symmetric models

ALMA (Anti-symmetric, Large-Moment, Accelerated) is a fast, flexible, and scalable toolkit designed to solve hyperbolic conservation law systems in hybrid supercomputers. This manuscript describes the theoretical background and implementation of ALMA, which uses the anti-symmetric formulation of fluids to obtain simple, robust, and easily paralellizable code. Practical GPU acceleration is realized on entire applications with an overall gain factor of 2 to 4. ALMA also provides a parallel, GPU accelerated sparse solver based on geometric multigrid, capable of diagonalizing linear systems with 239 unknowns. We demonstrate ALMA's scaling and performance in petascale supercomputers and use standard fluid models to verify the overall approach with canonical benchmark problems. (C) 2021 Elsevier Inc. All rights reserved.

Automated summary

ALMA is a toolkit designed to solve hyperbolic conservation law systems in hybrid supercomputers, using the anti-symmetric formulation of fluids to obtain simple, robust, and easily parallelizable code. Practical GPU acceleration is realized on entire applications with an overall gain factor of 2 to 4, and ALMA also provides a parallel, GPU accelerated sparse solver based on geometric multigrid.