CyberGIS-Compute is an open-sourced geospatial middleware framework that provides integrated access to high-performance computing (HPC) resources through a Python-based SDK and core middleware services. The key components of CyberGIS-Compute include CyberGIS-Compute SDK and CyberGIS-Compute Core. CyberGIS-Compute is released under Apache 2.0 license.
Posted by Alexander Michels on Monday March 20, 2023
Hands-on workshop introducing CyberGIS-Compute The materials cover running models in the SDK and developing your own simple models Developed and used for the AAG 2023 Symposium on Harnessing the ...
Posted by Alexander Michels on Tuesday March 7, 2023
This notebook was presented as part of an I-GUIDE VCO, check out the video: https://iguideillinoisedu/i-guide-vco/i-guide-vco-cybergis-compute-part-2/ We highly recommend following the guide in the ...
Posted by Alexander Michels on Tuesday July 19, 2022
This notebook briefly walks through calculating spatial accessibility to hospital ventilators in across the state of Illinois using CyberGIS-Compute It calculates travel-time catchments using ...
Posted by Alexander Michels on Thursday June 30, 2022
The IntroToCyberGIS-Computeipynb notebook walks through the basics of CyberGIS-Compute: running models focused on spatial accessibility and exploring the anatomy of a CyberGIS-Compute job We do this ...
Posted by Zhiyu Li on Wednesday September 1, 2021
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 ...
Posted by Zhiyu Li on Monday August 30, 2021
The HydroShare project is pleased to bring you this notebook that can set up a run-time environment on the CyberGIS-Jupyter for Water (CJW) platform for WRF&WRF-Hydro Coupled Testcase Online Lesson ...
Posted by Zhiyu Li on Monday August 30, 2021
The HydroShare project is pleased to bring you this notebook that can set up a run-time environment on the CyberGIS-Jupyter for Water (CJW) platform for WRFHydro Hands-on Training v52x (Nov 2020) In ...
Posted by Zhiyu Li on Monday August 30, 2021
CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) is a large-sample hydrometeorological dataset that provides catchment attributes, forcings and GIS data for 671 small- to ...
Posted by Zhiyu Li on Monday August 30, 2021
The goal of this notebook is to show the steps to run an example National Water Model (WRFhydro) model on HPC resources through the CyberGIS-Compute Service This notebook uses wrfhydropy, a Python ...
Posted by Zhiyu Li on Monday August 30, 2021
This example is to show the steps to run an ensemble SUMMA30 on HPC through the CyberGIS-Compute ...