Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems

Abstract

We introduce Pressio, a library for enabling projection-based model reduction for large-scale nonlinear dynamical systems. Pressio provides a non-intrusive wrapper that enables state-of-the-art nonlinear model reduction methods to be seamlessly integrated with existing high-performance computing (HPC) codes. The library is designed to be flexible, extensible, and performant, supporting a wide range of model reduction techniques including Galerkin and Petrov–Galerkin projection methods. Pressio facilitates the adoption of model reduction in production computational physics codes across many application domains.