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DTSTART;TZID=America/Denver:20231112T110000
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UID:submissions.supercomputing.org_SC23_sess425_ws_xloop106@linklings.com
SUMMARY:Empowering Scientific Discovery through Computing at the Advanced 
 Photon Source
DESCRIPTION:Hannah Parraga, John Hammonds, Steven Henke, Siniša Veseli, Wi
 lliam Allcock, Benoit Côté, Ryan Chard, Suresh Narayanan, and Nicholas Sch
 warz (Argonne National Laboratory (ANL))\n\nThis paper explores the challe
 nges and solutions for managing the vast amount of data generated by the A
 dvanced Photon Source (APS), a synchrotron light source producing ultra-br
 ight x-rays for diverse scientific domains. With 68 experimental beamlines
 , the APS serves a wide user base across academia, government, and industr
 y. The ongoing upgrade of the APS storage ring and new instruments will am
 plify data generation and processing demands. This paper discusses the app
 roach to address these demands through automated standardized workflows fo
 r faster scientific insights. The APS Data Management System coordinates d
 ata related tasks and interfaces with Globus. Through integration with the
  Argonne Leadership Computing Facility (ALCF), APS users can efficiently a
 ccess HPC resources. Standardized workflows have led to reduced computatio
 nal burdens on scientists and greater accessibility of HPC resources. We d
 emonstrate how standardization and collaboration enable scientists to rapi
 dly produce meaningful scientific results, establishing a streamlined path
  from collection to publication.\n\nTag: Large Scale Systems, Performance 
 Measurement, Modeling, and Tools, Software Engineering\n\nRegistration Cat
 egory: Workshop Reg Pass\n\nSession Chairs: Nicholas Schwarz (Argonne Nati
 onal Laboratory (ANL)) and Justin Wozniak (Argonne National Laboratory (AN
 L), University of Chicago)\n\n
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