This presentation showcases the successful integration of High-Performance Geospatial Computing (HPGC) capabilities developed during the OGC Testbed-19 and Testbed-20 initiatives with modern scientific computing workflows. We demonstrate a comprehensive implementation that allows for running Common Workflow Language (CWL) encoded workflows on HPC infrastructure via the Toil Workflow Execution Service, giving researchers scalable processing power for large-scale geospatial analyses.

Our approach uses the ZOO-Project-DRU platform, developed as part of the ESA-funded Earth Observation Exploitation Platform Common Architecture (EOEPCA) project, to efficiently manage workflow deployment and execution with standardized OGC API - Processes specifications, including Part 1: Core and Part 2: Deploy, Replace, Undeploy. The HPC support through Toil WES is also incorporated within the EOEPCA framework, offering a complete solution for large-scale Earth observation data processing. To showcase practical use, we demonstrate the conversion and adaptation of the I-GUIDE Extract_Inundation_Census_Tracts_Processor, showing how existing geospatial workflows can be converted into OGC-compliant Application Packages.

This implementation tackles key challenges in scientific workflow portability and reproducibility by creating standardized interfaces between high-performance computing resources and geospatial processing workflows. The solution allows researchers to deploy complex analysis pipelines across diverse computing environments while following open geospatial standards. Our results show notable improvements in workflow interoperability, execution scalability, and resource utilization efficiency, laying the groundwork for advanced scientific computing infrastructure that connects domain-specific tools with enterprise-level computational resources.