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Documentation
Documentation
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Current release info

NameDownloadsVersionPlatforms
Conda Recipe
Conda Downloads
Conda Version

Conda Platforms

Installing Non-MPI Lume-Impact

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:

  1. 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

  2. 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

  1. Code Block
    wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/Miniconda3-latest-Linux-x86_64.sh
  2. Code Block
    bash /tmp/Miniconda3-latest-Linux-x86_64.sh -p /sdf/home/c/<UNIX_USERNAME>/conda/

  3. 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>
Installing 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:




Code Block
conda install lume-impact


Install other packages (optional):


Code Block
conda config --add channels conda-forge
conda install pydantic=1.10
conda install xopt=1.4.1
conda install lume-impact


It is possible to list all of the versions of lume-impact available on your platform with:




Code Block
conda search lume-impact --channel conda-forge
Activate


Run a jupyterlab server with the impact conda env

with Lume-Impact and run a jupyterlab server as shown in Jupyter Notebooks on S3DF

activated:


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.

MPI Lume-Impact