Argonne Leverages HPC And Machine Learning To Accelerate Science

In 2021, the Argonne Leadership Computing Facility (ALCF) is planning to deploy Aurora A21, a new Intel-Cray system, slated to be the first exascale supercomputer in the United States. Aurora will be equipped with advanced capabilities for modeling and simulation, data science, and machine learning, which will allow scientists to tackle much larger and more complex problems than are possible today. To prepare for the exascale era, Argonne researchers are exploring new services and frameworks that will improve collaboration across scientific communities, eliminate barriers to productively using next-generation systems like Aurora, and integrate with user workflows to produce seamless, user-friendly environments. One area of focus is the development of a service that will help researchers make sense of the increasingly massive datasets produced by large-scale simulations and experiments. Ian Foster, director of Argonne's Data Science and Learning Division, is leading a team of researchers from Argonne and Globus to develop a pilot of a lab-wide service that will make it easier to access, share, analyze, and reuse large-scale datasets.