Installing Non-MPI Lume-Impact
Follow steps listed in Jupyter Notebooks on S3DF to setup a conda env.This method uses tunneling to connect to jupyter lab. To use jupyter lab through ondemand additional steps need to be done.
Prerequisites:
ssh to the iana node with tunneling enable:
Ssh into s3df login node with port forwarding (5555 can be changed to any preferred port):
Code Block ssh -L 5555:localhost:5555 <SLAC UNIX USERNAME>@s3dflogin.slac.stanford.edu
Connect to Iana compute cluster :
Code Block ssh -L 5555:localhost:5555 iana
(First time only) Install conda via miniconda:
This will install conda to the home directory
Code Block wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/Miniconda3-latest-Linux-x86_64.sh
Code Block bash /tmp/Miniconda3-latest-Linux-x86_64.sh -p /sdf/home/c/<UNIX_USERNAME>/conda/
Create a new Conda environment
Code Block conda create -n <NEW_ENV_NAME> -c conda-forge python=3.8 dask distributed ipykernel numpy scipy deap h5py pint matplotlib mpi4py
Install Lume-Impact for the conda environment used to activate jupyterlab as shown below:
Code Block |
---|
conda activate <NEW_ENV_NAME> |
lume-impact
from the conda-forge
channel can be achieved by adding conda-forge
to your channels with:Code Block |
---|
conda config --add channels conda-forge |
conda config --set channel_priority strict |
Once the conda-forge
channel has been enabled, lume-impact
can be installed with:
conda install lume-impact
It is possible to list all of the versions of lume-impact
available on your platform with:
conda search lume-impact --channel conda-forge
Activate the conda env with Lume-Impact and run a jupyterlab server as shown in Jupyter Notebooks on S3DF
Impact-T Executables
Here impact is the conda env you are using.
Impact-T is available through conda-forge and can be installed via:
conda create -n impact
source activate impact # or conda activate impact
# For non-MPI
conda install -c conda-forge impact-t
After these steps, the IMPACT-T executable ImpactTexe
or ImpactTexe-mpi
, respectively, will be in your PATH environment variable and is thus ready to use like any regular command-line command.
If the Impact-T executables are still not found, then you should go to the conda env folder, find the executables and manually add them to your path.
Visit https://github.com/impact-lbl/IMPACT-T for these and further instructions, including those to build from source.