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A Comprehensive Python Toolkit For Harnessing Cloud-Based High-Throughput Computing To Support Hydrologic Modeling Workflows, Scott D. Christensen
A Comprehensive Python Toolkit For Harnessing Cloud-Based High-Throughput Computing To Support Hydrologic Modeling Workflows, Scott D. Christensen
Theses and Dissertations
Advances in water resources modeling are improving the information that can be supplied to support decisions that affect the safety and sustainability of society, but these advances result in models being more computationally demanding. To facilitate the use of cost- effective computing resources to meet the increased demand through high-throughput computing (HTC) and cloud computing in modeling workflows and web applications, I developed a comprehensive Python toolkit that provides the following features: (1) programmatic access to diverse, dynamically scalable computing resources; (2) a batch scheduling system to queue and dispatch the jobs to the computing resources; (3) data management for …