Globus Labs is a research group led by Prof. Ian Foster and Dr. Kyle Chard that spans the Department of Computer Science at the University of Chicago and the Data Science and Learning Division at Argonne National Laboratory. We work closely with Globus, a non-profit data management platform operated out of UChicago that supports research cyberinfrastructure.
We engage in diverse research centered around scientific and high-performance computing.
- AI for Science: using AI as a paradigm for enabling scientific discovery.
- Data-intensive computing: managing the parallel processing of large data volumes on high-performance computing infrastructure.
- Distributed computing: managing computations across compute clusters or federated collections of cloud, high-performance computing, and edge systems.
- Research data management: enabling reliable, efficient, and secure transfer, sharing, and discovery of large and distributed data.
Many of our active projects are hosted in other GitHub organizations, including:
- Colmena [homepage | code]: Steering campaigns of simulations on supercomputers
- Garden [homepage | code]: A FAIR framework for publishing and applying AI models for translational research in science, engineering, education, and industry
- Globus Compute [homepage | code]: High-performance function serving for science (previously called funcX)
- FLoX [code]: Hierarchical federated learning with Globus Compute
- Parsl [homepage | code]: Enabling easy parallelism on clusters, clouds and supercomputers
- ProxyStore [homepage | code]: Facilitating efficient data management in distributed Python applications
- TaPS [homepage | code]: Benchmarking suite for distributed/parallel task execution frameworks
