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This paper presents an overview of the functionalities and applications ofExasim, an open-source code for generating high-order discontinuous Galerkincodes to numerically solve parametrized partial differential equations (PDEs).The software combines high-level and low-level languages to constructparametrized PDE models via Julia, Python or Matlab scripts and producehigh-performance C++ codes for solving the PDE models on CPU and Nvidia GPUprocessors with distributed memory. Exasim provides matrix-free discontinuousGalerkin discretization schemes together with scalable reduced basispreconditioners and Newton-GMRES solvers, making it suitable for accurate andefficient approximation of wide-ranging classes of PDEs.

Exasim: Generating Discontinuous Galerkin Codes for Numerical Solutions of Partial Differential Equations on Graphics Processors