CyberGIS-Jupyter for Water Quarterly Release Announcement (2022-Q3)




CyberGIS-Jupyter for Water Quarterly Release Announcement (2022-Q3)

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 an 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:

Please let us know if you have any questions or run into any problems (help@cybergis.org). Any feedback would be greatly appreciated.