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DTSTART;TZID=America/Chicago:20251116T090100
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UID:submissions.supercomputing.org_SC25_sess119_ws_xloop105@linklings.com
SUMMARY:Accelerating Advanced Light Source Science Through Multi-Facility 
 HPC Workflows
DESCRIPTION:David Abramov (Lawrence Berkeley National Laboratory (LBNL), A
 LS); Samuel Welborn (Lawrence Berkeley National Laboratory (LBNL), NERSC);
  Ryan Chard (Argonne National Laboratory (ANL)); Kuldeep Chawla (Lawrence 
 Berkeley National Laboratory (LBNL), LBL IT); Xiaoya Chong and Elizabeth C
 lark (Lawrence Berkeley National Laboratory (LBNL), ALS); Bjoern Enders (L
 awrence Berkeley National Laboratory (LBNL), NERSC); Alexander Hexemer, Ja
 son Jed, and Wiebke Koepp (Lawrence Berkeley National Laboratory (LBNL), A
 LS); Harinarayan Krishnan (Lawrence Berkeley National Laboratory (LBNL), C
 AMERA); Seij De Leon and Dilworth Parkinson (Lawrence Berkeley National La
 boratory (LBNL), ALS); David Perlmutter (Lawrence Berkeley National Labora
 tory (LBNL), CAMERA); Raja Vyshnavi Sriramoju (Lawrence Berkeley National 
 Laboratory (LBNL), ALS); Thomas Uram (Argonne National Laboratory (ANL), A
 LCF); and Lee Lisheng Yang and Dylan McReynolds (Lawrence Berkeley Nationa
 l Laboratory (LBNL), ALS)\n\nSynchrotron light sources support a wide arra
 y of techniques to investigate materials, often producing complex, high-vo
 lume data that challenge traditional workflows. At the Advanced Light Sour
 ce (ALS), we developed infrastructure to move microtomography data over ES
 net to ALCF and NERSC, where CPU- and GPU-based algorithms generate 3D rec
 onstructed volumes of experimental samples. We employ two data movement an
 d reconstruction models: real-time processing as data streams directly to 
 NERSC compute nodes, and automated file transfer to NERSC and ALCF file sy
 stems. The streaming pipeline provides users with feedback in under ten se
 conds, while the file-based workflow produces high-quality reconstructions
  suitable for deeper analysis in 20-30 minutes. This infrastructure allows
  users to leverage HPC resources without direct access to backend systems.
  We plan to extend this architecture to more endstations, supporting our b
 eamline scientists and users.\n\nRecording: Livestreamed, Recorded\n\nRegi
 stration Category: Technical Program Reg Pass, Workshop Reg Pass\n\nSessio
 n Chairs: Justin Wozniak (Argonne National Laboratory (ANL), University of
  Chicago); Nicholas Schwarz (Argonne National Laboratory (ANL)); and Hanna
 h Parraga (Argonne National Laboratory (ANL))\n\n
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