Abstract
CyberGIS-Compute is a geospatial middleware tool designed to lower technical barriers to High-Performance Computing (HPC) resources. It provides end-users with a Graphical User Interface (GUI) for submitting models to HPC and allows model developers to contribute their workflows by adding a manifest to their repositories. However, the simplification of the user interface and streamlining of model contribution have unintentionally limited the scope of models that could be run on CyberGIS-Compute. In this paper, we discuss recent developments to the CyberGIS-Compute project that are aimed at supporting a wider variety of workflows including performance enhancements, supporting additional configuration options for jobs, and allowing developers to contribute models without publishing the model on a public repository. We also introduce a case study that examines a CyberGIS-Compute model that benefits from each of these improvements.
Keywords
cyberGIS, CyberGIS-Compute, HPC
Document Type
Paper
Start Date
19-6-2025 10:50 AM
End Date
19-6-2025 11:50 AM
DOI
10.5703/1288284317903
Recommended Citation
Michels, Alexander C.; Zhang, Ian; Padmanabhan, Anand; Speaks, John; Vandewalle, Rebecca; and Wang, Shaowen, "Expanding Access to CyberGIS-Compute through support for Heterogeneous Workflows" (2025). I-GUIDE Forum. 3.
https://docs.lib.purdue.edu/iguide/2025/presentations/3
Event Website
https://cybergis.github.io/cybergis-compute-python-sdk/
Expanding Access to CyberGIS-Compute through support for Heterogeneous Workflows
CyberGIS-Compute is a geospatial middleware tool designed to lower technical barriers to High-Performance Computing (HPC) resources. It provides end-users with a Graphical User Interface (GUI) for submitting models to HPC and allows model developers to contribute their workflows by adding a manifest to their repositories. However, the simplification of the user interface and streamlining of model contribution have unintentionally limited the scope of models that could be run on CyberGIS-Compute. In this paper, we discuss recent developments to the CyberGIS-Compute project that are aimed at supporting a wider variety of workflows including performance enhancements, supporting additional configuration options for jobs, and allowing developers to contribute models without publishing the model on a public repository. We also introduce a case study that examines a CyberGIS-Compute model that benefits from each of these improvements.
https://docs.lib.purdue.edu/iguide/2025/presentations/3