Project Description
Building on the proven Pegasus Workflow Management System, PegasusAI will integrate advanced AI to automate resource provisioning, predict performance, detect anomalies, and guide scientists through human-in-the-loop adaptation. This next-generation framework will enable researchers to seamlessly execute and manage complex workflows across the entire computing continuum—from edge devices to exascale systems.
PegasusAI will harness recent advances in AI to bring greater automation, adaptability, and insight to data-intensive scientific workflows that operate across high-performance computing (HPC), cloud, and edge systems.
Project partners:
- University of Southern California Information Sciences Institute (USC/ISI) (Lead)
- Renaissance Computing Institute (RENCI)
- University of Tennessee, Knoxville
- University of Massachusetts, Amherst
