University of Chicago, Argonne National Laboratory
The Data and Learning Hub for Science (DLHub) serves as an automated facilitator and interconnection point for ML models and associated data transformation and analysis tools. It allows researchers to describe and publish such tools in ways that support discovery and reuse; run published tools over the network (with tools executed on a scalable hosted infrastructure); and link models, other tools, and data sources into complete ML/AI pipelines that can themselves be published, discovered, and run. DLHub relies on Globus services for data management.
Argonne National Lab
Scientists wanted to study gravitational waves, and as a result of the exponential growth of data, days of supercomputing time were needed to keep up with all the data. Models were trained using supercomputers and were then shared and accessed through DLHub. Users then were able to reuse and refine the existing models combined with funcX .