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installationHPC
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.)
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 falcon1), 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 ravenThis step is optional, and you need to contact the raven developers to obtain the access first. Contact us. The installation instruction can be found: RAVEN Plugins
[~]> module load python/3.7-anaconda-2019.10
[~]> module load gcc/9.3.0-gcc-4.8.5-twls
Now you can use establish_conda_env.sh script to install raven libraries, i.e.,
[~]> ./scripts/establish_conda_env.sh --install
When the libraries got installed, you can build raven:
[~]> ./build_raven
If you want to run qsub test on INL SAWTOOTH, please try to add the following lines in the of your RAVEN XML input file:
<RunInfo>
<NodeParameter>--hostfile</NodeParameter>
<clusterParameters>-P moose</clusterParameters>
<RemoteRunCommand>raven_ec_qsub_command.sh</RemoteRunCommand>
</RunInfo>
Also, please try to update the to your related PBS project name (http://hpcweb.inl.gov/home/pbs).
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 does not yet have a raven-devel module, so the following should be loaded:
[~]> module load pbs python MVAPICH2
The module conda location (as an argument when installing RAVEN libraries)
./scripts/establish_conda_env.sh --install --conda-defs /apps/local/anaconda/anaconda3.7/etc/profile.d/conda.sh
The following module needs to be loaded:
[~]> module load raven-devel
The module conda location (as an argument when installing RAVEN libraries)
./scripts/establish_conda_env.sh --install --conda-defs /apps/local/anaconda/Anaconda3-2019.10/etc/profile.d/conda.sh
After the appropriate modules are loaded, continue with normal Linux installation instructions:
Linux installation instructions.
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.
See also Advanced Installation