From 3d429c1a2dde1e33d0a2e434bf9663306aa01c14 Mon Sep 17 00:00:00 2001 From: Duck <70207455+entlein@users.noreply.github.com> Date: Tue, 14 Nov 2023 10:11:00 -0700 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8c2f753..2b03be8 100644 --- a/README.md +++ b/README.md @@ -2,9 +2,9 @@ # JupyterLab OpenScience Containers This is the first sample container for which we demonstrate how to use some HPC tooling on Kubernetes or locally, using the https://cgs.jhuapl.edu codebase "MAGE" ( an ecosystem consisting of Fortran/Python MPI/OPENMP). Here, we specifically use Paraview to plot Magneto-Hydro-Dynamics Data produced by MAGE, and thus we include the Python Packages required specifically for this HPC codebase (kaipy etc). + WIP: The Globus Endpoints for the data are public, but currently those datasets are rather large. -In real life: there is a CI pipeline with the source code, that builds this Analysis-Container For a basic example of the kernel using Jupyter Notebook, see `ParaviewExample.ipynb`, for a sample Tutorial see `MagIonPlot.ipynb` , for opening a connection via Globus, see `globus_client_start.ipynb`. To have more information on what is available specifically through this Jupyter-kernel, type magic command `%help` in the interpreter.