ABSTRACT: 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. To address these needs we have developed funcX, a high-performance function-as-a-service (FaaS) platform that enables intuitive, flexible, efficient, scalable, and performant remote function execution on existing infrastructure including clouds, clusters, and supercomputers. I will describe the motivation for developing funcX and review its use in a variety of scientific use cases. (https://funcx.org/) and https://labs.globus.org.
SPEAKER: (https://www.linkedin.com/in/ianfoster) is Senior Scientist and Distinguished Fellow, and director of the Data Science and Learning Division, at Argonne National Laboratory, and the Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago. He is a fellow of the AAAS, ACM, BCS, and IEEE, and recently received the ACM/IEEE Ken Kennedy award and IEEE Internet award.
Co-sponsored by: IEEE SCV Computer Society
Virtual: https://events.vtools.ieee.org/m/328324
Serverless Supercomputing: High Performance Function as a Service for Science
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