214 citations · 482 across the 18 of their papers we have counts for
5 papers · 1 filter
Experiences with Model Context Protocol Servers for Science and High Performance Computing
Haochen Pan, Ryan Chard, Reid Mello +12
Large language model (LLM)-powered agents are increasingly used to plan and execute scientific workflows, yet most research cyberinfrastructure (CI) exposes heterogeneous APIs and…
funcX: Federated Function as a Service for Science
Zhuozhao Li, Ryan Chard, Yadu Babuji +9
funcX is a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution. Unlike centralized FaaS systems, funcX…
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads
Aymen Al Saadi, Dario Alfe, Yadu Babuji +33
The drug discovery process currently employed in the pharmaceutical industry typically requires about 10 years and $2-3 billion to deliver one new drug. This is both too expensive…
funcX: A Federated Function Serving Fabric for Science
Ryan Chard, Yadu Babuji, Zhuozhao Li +5
Exploding data volumes and velocities, new computational methods and platforms, and ubiquitous connectivity demand new approaches to computation in the sciences. These new approach…
Serverless Supercomputing: High Performance Function as a Service for Science
Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li +6
Growing data volumes and velocities are driving exciting new methods across the sciences in which data analytics and machine learning are increasingly intertwined with research. Th…