The interplay of workflow technologies and HPC has been challenged by the fast rise of AI and ML technologies. Workflows empowered with ML techniques largely differ from traditional workflows running on HPC machines. In this BoF, we bring together researchers from the workflows, HPC, and AI/ML communities that work on scientific research questions that require large-scale, distributed, and AI-heavy computing. The session presented an update on challenges, opportunities, new research directions, and future pathways, and sought input for updating a community roadmap on HPC and AI workflows research and development.
In this first edition of this BoF session (Tuesday Nov 15, 2022, 12:15pm-1:15pm CT), we brought together members of the Workflows Community Initiative to provide an update on challenges, opportunities, new research directions, and future pathways on HPC and AI workflows.
This BoF will produce tangible outputs both in terms of a package of materials (lightning talks, live-poll questions and responses) and a draft of an updated community roadmap (based on https://doi.org/10.1109/WORKS54523.2021.00016).
12:15pm-12:20pm — Opening remarks
Rafael Ferreira da Silva – Oak Ridge National Laboratory
Rosa M. Badia – Barcelona Supercomputing Center
Kyle Chard – University of Chicago
Olivier Terzo – LINKS Foundation
12:20pm-12:50pm — Lightning talks: Challenges, opportunities, new research directions, and future pathways
Overview of European initiatives focusing on the orchestration of HPC, AI, and Big data
Alberto Scionti, ACROSS/LINKS - Jorge Ejarque, eFlows4HPC/BSC
AI-enabled workflows for pandemic response
Arvind Ramanathan, ANL
Integrating Research Infrastructure to Accelerate Science
Ben Brown, DOE - Bill Miller, NSF
12:50pm-1:15pm — Community roadmap discussions