Bulletin of the American Physical Society
22nd Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter
Volume 67, Number 8
Monday–Friday, July 11–15, 2022; Anaheim, California
Session S00: Plenary IV
8:00 AM–9:00 AM,
Thursday, July 14, 2022
Anaheim Marriott
Room: Platinum 5-6
Chair: Arianna Gleason, SLAC - Natl Accelerator Lab
Abstract: S00.00001 : AI-Enabled X-ray Science at the Advanced Photon Source*
8:00 AM–9:00 AM
Presenter:
Mathew Cherukara
Author:
Mathew Cherukara
However, these novel capabilities dramatically increase the complexity and volume of data generated by instruments at the new light sources. Conventional data processing and analysis methodologies become infeasible in the face of such large and varied data streams. The use of AI/ML methods is becoming indispensable for real-time analysis, data abstraction and decision making at advanced synchrotron light sources such as the APS. I will describe the use high-performance computing (HPC) along with AI on edge devices to enable real-time analysis of streaming data from x-ray characterization instruments at the APS.
*This work was performed at the Advanced Photon Source, a U.S. Department of Energy (DOE) Office of Science User Facility, operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357. This work was also supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences Data, Artificial Intelligence and Machine Learning at DOE Scientific User Facilities program under Award Number 34532. Support is also acknowledged from Argonne LDRD 2021-0090 – AutoPtycho: Autonomous, Sparse-sampled Ptychographic Imaging.
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