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Dylan McDowell edited this page Nov 6, 2023 · 31 revisions

INL HPC Systems

The High Performance Computing (HPC) machines at INL have similar RAVEN install procedures, outlined below. Note that AFTER loading modules, RAVEN libraries must be installed as per a normal Linux installation (link below).

The process for any INL HPC system is as follows:

  • Load modules
  • Clone RAVEN
  • Install libraries, giving the location of conda.

(Note, if you have not used the Linux command line before, it might be useful to read a tutorial on using it first: https://ubuntu.com/tutorials/command-line-for-beginners Learning about the ssh and the git commands will also be useful.)

Clone RAVEN

Regardless of the HPC environment in which you want to install RAVEN, it should be cloned.

NOTE that sometimes modules need to be loaded before cloning can occur (for example, git must be available). Also note that git can only be used on the login node (such as lemhi1 or sawtooth1), not on the cluster compute nodes (if you are using hpc ondemand, you may need to ssh to the login node to run git commands that access github.)

git clone https://github.com/idaholab/raven.git
cd raven

Install RAVEN Plugins (ONLY IF YOU NEED TO USE PLUGINS)

This step is optional, and you need to contact the raven developers to obtain the access first for the non-open source plugins. Contact us. The installation instruction can be found: RAVEN Plugins

SAWTOOTH

If you want to install the latest raven devel branch, try to load the following modules first:

[~]> module load python/3.7-anaconda-2019.10

Now you can use establish_conda_env.sh script to install raven libraries, i.e.,

[~]> ./scripts/establish_conda_env.sh --install --conda-defs /apps/local/anaconda/3.7/etc/profile.d/conda.sh

When the libraries got installed, you can build raven:

[~]> ./build_raven

Experimental Features:

  • Use Mamba to install RAVEN which can accelerate the installation process: ./scripts/establish_conda_env.sh --mamba --conda-defs /apps/local/anaconda/3.7/etc/profile.d/conda.sh

  • Use “pip” to install RAVEN (https://pypi.org/project/raven-framework/) pip install raven-framework These should work on Linux, Mac OS and Windows. After installation, the raven_framework command can be used to run raven.

In addition, if you do not want to install latest RAVEN, you can try to load the RAVEN modules that are available on SAWTOOTH.

Two tagged versions of RAVEN have been installed on sawtooth, i.e., raven and raven/2.0, the users can directly load these raven modules:

[~]> module load raven/2.0
[~]> raven_framework raven_input.xml

LEMHI

Lemhi now has a raven module that can be loaded into your HPC environment. NOTE: This may not be a cutting-edge version of RAVEN.

[~]> module load raven

This module also comes with RAVEN plugins: HERON and TEAL.

Now to run raven on an input file, you will type the command:

[~]> raven_framework <raven_input.xml>

NOTE: Ensure you do not already have a local conda environment called raven_libraries this will conflict with the module environment of the same name.

Continuing Installation

After the appropriate modules are loaded, continue with normal Linux installation instructions:

Linux installation instructions.

General HPC

In general RAVEN needs:

  • a GCC compiler with C++11 standard (for example 4.9.2)
  • conda (local installation per user is fine)
  • MPI (if distributed simulations are desired)

Once these three are available, install RAVEN via the Linux installation instructions.

More Information

See also Advanced Installation

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