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Minisymposium Presentation
New Science from Cross-Facility Workflows: Case Studies in the Superfacility Model
Presenter
Nick is a Scientific Data Architect in the Data and AI Services group at NERSC, working primarily on supporting large data transfer tools, and cross facility workflows. Nick has helped many projects at NERSC ranging from computational biology, nuclear physics, high energy physics, and nuclear fusion as they look to create cross facility workflows and to harness the Superfacility API. As a NESAP Postdoc Nick worked with the Joint Genome Institute at Lawrence Berkeley National Lab on their workflow management system JAWS (JGI Analysis Workflow Service). Nick received his PhD in experimental nuclear physics from the University of South Carolina in 2021, and was a member of the CLAS collaboration at Jefferson Lab, working on experimental nuclear physics and hadron spectroscopy.
Description
As higher precision experimental instruments become available scientific facilities are shifting the way they run experiments. With the increase in experimental data rates scientists have had to rely more on large HPC resources for experimental post processing. One of the goals in developing the Superfacility model at The National Energy Scientific Research Center (NERSC) was to build up the ecosystem and expertise to facilitate connecting remote science experiments with supercomputing resources. In this talk I will highlight the work going into connecting some of these projects to our systems such as: experimental beamlines, electron microscopes, fusion experiments and more. I will go into detail about how these projects can use our API to automatically drive their computations as well as how the knowledge and expertise gained on one experiment is transferred to other experiments with the NERSC Science Acceleration Program (NESAP). I will provide insight into plans for expanding the APIs capabilities in preparation for our next system, N10, which is being designed specifically to enhance scientific workflows.