sreepatiballa/scaleuprom

Scalable Reduced Order Model with Discontinuous Galerkin Domain Decomposition

Introduction

scaleupROM is a projection-based reduced order model (ROM) with discontinuous Galerkin domain decomposition (DG-DD). It aims to construct a robust, efficient, large-scale ROM that is trained only from small scale component samples, for various physics partial differential equations. scaleupROM is mainly built upon MFEM and libROM.

Features

• Discontinuous Galerkin domain decomposition
• Projection-based reduced order model
• EQP for nonlinear partial differential equations
• Supporting physics equations:
  • Poisson equation
  • Stokes flow
  • Steady Navier-Stokes flow
  • Linear elasticity

Features to be added

• Nonlinear elasticity
• Time-dependent Navier-Stokes flow

Installation

Prerequisites

• BLAS
• LAPACK
• HDF5
• yaml-cpp
• Gmsh
• googletest
• MFEM
  • hypre
  • METIS
  • MUMPS
• libROM

Instruction

See the wiki page for the detailed instruction.

For LC dane, the installation script is provided. You can simply run:

./script/install_dane.bash

Using Docker container

Docker container scaleuprom_env provides a containerized environment with all the prerequisites for scaleupROM:

• intel chips: https://ghcr.io/llnl/scaleuprom/scaleuprom_env:latest
• apple chips: https://ghcr.io/llnl/scaleuprom/scaleuprom_env:arm64

License

scaleupROM is distributed under the MIT license. For more details, see the LICENSE File.

SPDX-License-Identifier: MIT

LLNL-CODE-857975

Authors

• "Kevin" Seung Whan Chung (LLNL)
• Youngsoo Choi (LLNL)
• Pratanu Roy (LLNL)
• Thomas Moore (QUT)
• Thomas Roy (LLNL)
• Tiras Y. Lin (LLNL)
• Sarah E. Baker (LLNL)
• Axel Larsson (Princeton)