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| Created: | Aug 31, 2021 at 7:31 p.m. | |
| Last updated: | Sep 07, 2021 at 11:52 p.m. | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
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Abstract
This notebook demonstrates how to use Globus within CyberGIS-Compute to retrieve a large number of outputs generated by a model executed on HPC, which is often needed for postprocessing work performed on CJW. A new “data transfer” job type is provided for moving data from HPC back to the CJW Jupyter environment. Under the hood, this new job type utilizes the Globus service (https://www.globus.org/) to perform a point-to-point data transfer between HPC and CJW.
In this demo, we will first prepare a 60-member ensemble SUMMA mode and submit it to the XSEDE Expanse HPC for execution using the CyberGIS-Compute. When the model run is finished, we won't use the regular "download" function in the Compute SDK to retrieve the results. Instead, we submit another Globus job to the Compute, which will hand it off to the Globus scheduler and monitor the process (just like talking Slurm scheduler on HPC in the case of regular model submission). Please refer to the example notebook below for more details.
How to run the notebook:
1) Click on the OpenWith button in the upper-right corner;
2) Select "CyberGIS-Jupyter for Water";
3) Open the notebook and follow instructions;
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Related Resources
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| CyberGIS-Jupyter for Water (CJW) 2021 Q3 Release Notes | Zhiyu/Drew Li · Alexander Michels | Public & Shareable | Open Access |
| Collection of CyberGIS-Jupyter for Water (CJW) Example Notebooks | Zhiyu/Drew Li | Public & Shareable | Open Access |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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