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

Current release info

Name	Downloads	Version	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:

• S3DF activated UNIX account

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:

conda activate <NEW_ENV_NAME>

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
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

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. Code Block
   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. Code Block
      '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