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DTSTAMP:20260924T172456Z
LOCATION:Exhibit Hall A3
DTSTART;TZID=America/New_York:20241120T103000
DTEND;TZID=America/New_York:20241120T111500
UID:submissions.supercomputing.org_SC24_sess490_inv103@linklings.com
SUMMARY:How I Learned to Stop Worrying and Love the Data Deluge
DESCRIPTION:Jana Thayer (SLAC National Accelerator Laboratory)\n\nAdvanced
  data and computing systems are vital to Linac Coherent Light Source (LCLS
 ) operations, data interpretation and overall scientific productivity. The
  transition to MHz-era operation marks a fundamental change in scale that 
 requires new infrastructure and architectures to link LCLS to the required
  scale of computing needed for scientific interpretation. The LCLS-II Data
  System leverages access to high performance compute to reduce time to sci
 ence, improve the efficiency and quality of acquired data sets, and solve 
 exascale problems that cannot be solved by other means. Feature extracted 
 information generated in the data analysis pipeline — at the edge, local c
 ompute, or remote HPC resources — can be used to steer experiments and inf
 orm user decisions during beam time. AI/ML presents new opportunities to r
 apidly analyze large datasets and direct experiments, but creates its own 
 challenges in scaling, adaptability, complexity, and trustworthiness. Coll
 ectively these advances are poised to significantly enhance experimental o
 utput and enable groundbreaking scientific exploration. We discuss the ove
 rall challenges facing LCLS, and explore the opportunities afforded by ful
 ly leveraging the remote HPC resources of the DOE complex.\n\nRegistration
  Category: Tech Program Reg Pass\n\nSession Chair: Rupak Biswas (NASA)\n\n
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