A better method is to run the impact_bmad container here, which has a conda env with lume impact setup inside it and then navigate to your lume impact notebook and run it once in jupyterlab in the container.

Examples here  

Additional information on these examples: Running Impact-T on s3df

Useful links:

Documentation
Documentation
Github

github

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):

     ssh -L 5555:localhost:5555 <SLAC UNIX USERNAME>@s3dflogin.slac.stanford.edu

  2. Connect to Iana compute cluster :

     ssh -L 5555:localhost:5555 iana


(First time only) Install conda via miniconda:

This will install conda to the home directory

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

  3. Create a new Conda environment

    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:

conda activate <NEW_ENV_NAME>
Installing lume-impact from the conda-forge channel can be achieved by adding conda-forge to your channels with:


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


Install other packages (optional):


conda config --add channels conda-forge
conda install pydantic=1.10
conda install xopt=1.4.1


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




conda search lume-impact --channel conda-forge


Run a jupyterlab server with the impact conda env activated:

  • ** do only first time ** install jupyter lab if not installed: 
conda install jupyterlab
  • Run jupyter and click on the link to open in your browser:
 jupyter lab --no-browser --port 5555  


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

To use run Lume-Impact in parallel one can use mpi. These steps follow this notebook.

  1. install the mpi version of impact-t instead of the regular impact-t when creating the conda env (nb: this is the same env with xopt, jupyterlab, lume-impact etc)
  2. conda install -c conda-forge impact-t=*=mpi_openmpi*

    3. configure the settings to point to where your impact-t executable is. It should be in the conda env files. Here eric used an conda env called xopt

    1. 'command': '/sdf/home/c/cropp/conda/envs/xopt/bin/ImpactTexe',    
'command_mpi': '/sdf/home/c/cropp/conda/envs/xopt/bin/ImpactTexe-mpi',

More information here: impact-T

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