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DTSTAMP:20260202T201804Z
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DTSTART;TZID=America/Chicago:20251116T105500
DTEND;TZID=America/Chicago:20251116T112000
UID:submissions.supercomputing.org_SC25_sess119_ws_xloop108@linklings.com
SUMMARY:X-ray Ptychography at the Edge: Towards Real-Time Feedback for Hig
 h-Speed Nanoimaging
DESCRIPTION:Zirui Gao, Seher Karakuzu, Dmitri Gavrilov, and Daniel Allan (
 Brookhaven National Laboratory); Adam Thompson and Denis Leshchev (NVIDIA 
 Corporation); and Hanfei Yan (Brookhaven National Laboratory)\n\nX-ray pty
 chography is becoming an indispensable tool for nanoscale imaging, driving
  innovation in functional materials, electronics, life sciences, etc. To r
 etrieve sample images, the technique relies on advanced mathematical algor
 ithms, making it computationally intensive. Recent advances in data acquis
 ition have greatly increased the data generation rate, making it challengi
 ng to perform reconstruction in a timely manner to support decision making
  during an experiment. Here, we demonstrate how efficient GPU-based iterat
 ive reconstruction algorithms, deployed at the edge, enable real-time feed
 back during high-speed continuous data acquisition, allowing for a more in
 formed experiment execution and thus increasing the quality and efficiency
  of the measurements. These developments represent a steppingstone towards
  augmentation of computationally intensive experiments with data-driven de
 cision making, paving the way for autonomous experiments performed at mach
 ine speeds.\n\nRecording: Livestreamed, Recorded\n\nRegistration Category:
  Technical Program Reg Pass, Workshop Reg Pass\n\nSession Chairs: Justin W
 ozniak (Argonne National Laboratory (ANL), University of Chicago); Nichola
 s Schwarz (Argonne National Laboratory (ANL)); and Hannah Parraga (Argonne
  National Laboratory (ANL))\n\n
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