MOOSE is a tool that allows the use of many physics and maths libraries to run simulations of finite elements of any shape, including unstructured meshes.
My purpose is to run simulations in parallel. My laptop that already is using Fedora 32, has four cores to process calculations.
According to the official MOOSE Website, we can install MOOSE using Conda.
1. In case you already have installed Conda, and its configuration; please go to the step 3.
You might install conda on Linux, by executing the following command:
curl -L -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh bash Miniconda3-latest-Linux-x86_64.sh -b -p ~/miniconda3
2. Then, please set the global environment in our system to use conda:
3. Let’s add the channel conda-forge that will allow us to create the moose environment:
conda config --add channels conda-forge conda config --add channels https://mooseframework.org/conda/moose conda create --name moose moose-libmesh moose-tools
4. You need to activate the new moose env to use it. Do an update if it is possible:
conda activate moose conda update --all
5. Clone the moose code and the examples provided in the new moose environment:
mkdir ~/projects cd ~/projects git clone https://github.com/idaholab/moose.git cd moose git checkout master
6. You can run the project in parallel, in this case we are using only four cores:
cd ~/projects/moose/test make -j 4 ./run_tests -j 4
If everything is a success, a message that the passed tests done in parallel, is displayed:Now, were are ready to run our first MOOSE program. I followed this workshop
cd ~/projects/moose/tutorials/darcy_thermo_mech/step01_diffusion make -j 4 # use number of processors for your system cd problems ../darcy_thermo_mech-opt -i step1.i
Remember to copy the content of sept1.i, and execute the output with Peacock, as follows:
~/projects/moose/python/peacock/peacock -r step1_out.e
Now, we have our simulation in action 🙂Thanks to my friend Manuel Merino for his support during my new age as a scientist.