Using Docker container

Using Docker container

Docker container librom_env provides a containerized environment with all the prerequisites for libROM. In order to compile and use libROM in the Docker container, follow these steps:

• Pull librom_env, with Docker Desktop installed and running

docker pull ghcr.io/llnl/librom/librom_env:latest

• Clone libROM repository

git clone https://github.com/LLNL/libROM.git

• Launch the Docker container with the cloned repository

docker run -it --volume ./libROM:/home/test/libROM dreamer2368/librom_env:latest

• This will lead to a terminal with the cloned repository mounted at ~/libROM. Compile libROM with the pre-set environment variables

mkdir build
cd build
cmake ~/libROM -DCMAKE_TOOLCHAIN_FILE=${TOOLCHAIN_FILE} -DCMAKE_BUILD_TYPE=${BUILD_TYPE} -DUSE_MFEM=${USE_MFEM} -DMFEM_USE_GSLIB=${MFEM_USE_GSLIB}
make -j 4

Some notes about using the Docker container:

• Any change within the container will not be saved, except those happening in the mounted directory ./libROM.
• Any change in /home/test/libROM in the container is instantaneously reflected into the actual directory ./libROM, and vice versa.

Some details

• Machine architecture: Linux-x86_64
• From: ubuntu:22.04
• Dependencies:
  • cmake-3.22.1
  • hypre-2.20.0
  • parmetis-4.0.3
  • gslib-1.0.7
  • mfem: latest verified commit on May 02, 2023
  • googletest-v1.12.1: the last release that supports c++11
• Environmental variables preset for libROM cmake:
  • TOOLCHAIN_FILE=/env/dependencies/librom_env.cmake
  • BUILD_TYPE=Optimized
  • USE_MFEM=On
  • MFEM_USE_GSLIB=On
• Miscellaneous packages
  • Debugging tools: valgrind, lldb, gdb
  • Python packages: numpy, scipy, argparse, tables, PyYAML, h5py, pybind11, pytest, mpi4py