Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Collection | |
Storage: | The size of this collection is 437 bytes | |
Created: | Oct 24, 2022 at 6:40 p.m. | |
Last updated: | Nov 09, 2022 at 10:07 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
---|---|
Views: | 1214 |
Downloads: | 1 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
CyberGIS-Jupyter for Water Quarterly Release Announcement (2022-Q3)
Dear CJW users,
We are pleased to announce a new release of the CyberGIS-Jupyter for Water (CJW) platform at https://go.illinois.edu/cybergis-jupyter-water. This release includes several new capabilities and features summarized as follows.
(1) Cern Virtual Machine File System (CVMFS): We have redesigned how we deliver software within CyberGIS-Jupyter. This new design drastically increases computational performance and reproducibility, and allows the platform to make the software environment available in a variety of settings. From an end-user perspective, there should be no change to your accessing and utilizing the CJW services.
(2) Improved user experience for CyberGIS-Compute: In previous versions, we introduced the capability for users to “Restore” their previously submitted jobs of interest. Based on user feedback, we’ve further refined the interface to support viewing and downloading outputs of all previously submitted jobs by simply navigating to the “Past Results” section. The result/output of any completed job can be accessed with a single click.
(3) Support for new High Performance Computing (HPC) backend in CyberGIS-Compute: Anvil is now available as a new HPC resource for CyberGIS-Compute. Supported by NSF, Anvil is a HPC system hosted at Purdue University that contains 1000 CPU nodes based on the third generation AMD EPYC "Milan" processor, delivering a peak performance of 5.3 petaflops. Allocations on Anvil are managed by NSF's ACCESS program (https://access-ci.org/) The large numbers of CPU nodes and cores (i.e., 128) enable superior computational performance for scalable codes, short queuing times, and fast execution for hydrologic models via CyberGIS-Compute. For more information on Anvil, refer to the documentation at: https://www.rcac.purdue.edu/anvil. The WRFHydro model is supported on Anvil via CyberGIS-Compute. Please refer to the example notebook below.
Please refer to the following resources for details and examples:
A Brief Overview Of Cern Virtual Machine File System (CVMFS)
http://www.hydroshare.org/resource/ab1555c0c8d34d3496997353ba8060d9
CyberGIS-Compute updates - 2022-Q3
http://www.hydroshare.org/resource/3b472641c3504161bb13a19d4c9fbc87
Submission of WRFHydro model to Anvil HPC
https://www.hydroshare.org/resource/cc28d769943046fdac0f9b0c0fc2afc6/
See Release Notes on HydroShare
http://www.hydroshare.org/resource/bf463f07e1244de4a17b3ea7b2d95916
Please let us know if you have any questions or run into any problems (help@cybergis.org) Any feedback would be greatly appreciated.
Best regards,
CyberGIS-Hydro team
Subject Keywords
Collection Contents
Add | Title | Type | Owners | Sharing Status | Remove |
---|---|---|---|---|---|
A Brief Overview Of Cern Virtual Machine File System (CVMFS) | Resource | Furqan Baig | Public & Shareable | ||
CyberGIS-Compute Updates - 2022-Q3 | Resource | Furqan Baig | Public & Shareable |
Related Resources
Title | Owners | Sharing Status | My Permission |
---|---|---|---|
CyberGIS-Jupyter for Water (CJW) Announcements | Zhiyu/Drew Li · Anand Padmanabhan · Shaowen Wang · Furqan Baig · Alexander Michels | 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/
Comments
There are currently no comments
New Comment