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DTSTART;TZID=America/Chicago:20251116T090000
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UID:submissions.supercomputing.org_SC25_sess119@linklings.com
SUMMARY:XLOOP 2025: The 7th Annual Workshop on Extreme-Scale Experiment-in
 -the-Loop Computing
DESCRIPTION:Advancement in computational power and high-speed networking i
 s enabling a new model of scientific experiment, experiment-in-the-loop co
 mputing (EILC). In this model, simulation and/or learning modules are run 
 as data is collected from observational and experimental sources. Presentl
 y, the amount and complexity of data generated by simulations and by obser
 vational and experimental sources, such as sensor networks and large-scale
  scientific facilities, continues to increase. Several research challenges
  exist, many of which are independent of the scientific application domain
 . New algorithms, including artificial intelligence and machine learning a
 lgorithms, to merge simulation ensembles and experimental data sets must b
 e developed. Data transfer techniques and workflows must be constructed to
  control the ensembles and integrate simulated and observed data sets. The
  Workshop on Extreme-Scale Experiment-in-the-Loop Computing (XLOOP 2025) w
 ill be a unique opportunity to promote this interdisciplinary topic area. 
 We invite papers, presentations, and participants from the physical and co
 mputer sciences.\n\nMorning Break - XLOOP 2025\n---------------------\nSpe
 eding Up Phonon Dynamic Structure Factor Calculations in Phonopy with GPU-
 Accelerated Computing\n\nWe utilized high-performance computing techniques
 , including GPU accelerators, to speed up calculations of the phonon dynam
 ic structure factor used to model spectroscopy data measured at neutron an
 d x-ray scattering facilities. This faster workflow is a first step toward
  experimental steering, enabl...\n\n\nPhilip Fackler (Oak Ridge National L
 aboratory)\n---------------------\nXLOOP Awards Ceremony & Conclusion\n\nJ
 ustin Wozniak (Argonne National Laboratory, University of Chicago) and Nic
 holas Schwarz and Hannah Parraga (Argonne National Laboratory)\n----------
 -----------\nLunch break (on your own)\n---------------------\nXLOOP 2025:
  The 7th Annual Workshop on Extreme-Scale Experiment-in-the-Loop Computing
 \n\nAdvancement in computational power and high-speed networking is enabli
 ng a new model of scientific experiment, experiment-in-the-loop computing 
 (EILC). In this model, simulation and/or learning modules are run as data 
 is collected from observational and experimental sources. Presently, the a
 mount an...\n\n\nJustin Wozniak (Argonne National Laboratory (ANL), Univer
 sity of Chicago) and Nicholas Schwarz and Hannah Parraga (Argonne National
  Laboratory (ANL))\n---------------------\nThe LCLStream Ecosystem for Mul
 ti-Institutional Dataset Exploration\n\nWe describe a new end-to-end exper
 imental data streaming framework designed from the ground up to support ne
 w types of applications – AI training, extremely high-rate X-ray time-of-f
 light analysis, crystal structure determination with distributed processin
 g, and custom data science application...\n\n\nDavid Rogers (Oak Ridge Nat
 ional Laboratory)\n---------------------\nxGFabric: Coupling Sensor Networ
 ks and HPC Facilities with Private 5G Wireless Networks for Real-Time Digi
 tal Agriculture\n\nAdvanced scientific applications require coupling distr
 ibuted sensor networks with centralized high-performance computing facilit
 ies. Citrus Under Protective Screening (CUPS) exemplifies this need in dig
 ital agriculture, where citrus research facilities are instrumented with n
 umerous sensors monitor...\n\n\nLiubov Kurafeeva (University of California
 , Santa Barbara); Alan Subedi (University of Nebraska–Lincoln); Ryan Hartu
 ng (University of Notre Dame); Michael Fay and Avhishek Biswas (University
  of Nebraska–Lincoln); Shantenu Jha (Princeton Plasma Physics Laboratory);
  Ozgur Kilic (Brookhaven National Laboratory); Chandra Krintz (University 
 of California, Santa Barbara); Andre Merzky (Princeton Plasma Physics Labo
 ratory); Douglas Thain (University of Notre Dame); Mehmet Vuran (Universit
 y of Nebraska–Lincoln); and Rich Wolski (University of California, Santa B
 arbara)\n---------------------\nXLOOP Panel\n\nJustin Wozniak (Argonne Nat
 ional Laboratory (ANL)) and Nicholas Schwarz and Hannah Parraga (Argonne N
 ational Laboratory)\n---------------------\nX-ray Ptychography at the Edge
 : Towards Real-Time Feedback for High-Speed Nanoimaging\n\nX-ray ptychogra
 phy is becoming an indispensable tool for nanoscale imaging, driving innov
 ation in functional materials, electronics, life sciences, etc. To retriev
 e sample images, the technique relies on advanced mathematical algorithms,
  making it computationally intensive. Recent advances in data a...\n\n\nZi
 rui Gao, Seher Karakuzu, Dmitri Gavrilov, and Daniel Allan (Brookhaven Nat
 ional Laboratory); Adam Thompson and Denis Leshchev (NVIDIA Corporation); 
 and Hanfei Yan (Brookhaven National Laboratory)\n---------------------\nAI
  Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturin
 g User Facilities\n\nThis paper presents a modular architecture for enabli
 ng autonomous cross-facility scientific experimentation using AI agents at
  ORNL's HPC and manufacturing user facilities. The proposed system integra
 tes a natural language interface powered by an LLM, a multi-agent framewor
 k for decision making, pr...\n\n\nDaniel Rosendo, Stephen DeWitt, Renan So
 uza, Phillipe Austria, Tirthankar Ghosal, Marshall McDonnell, Ross Miller,
  Tyler Skluzacek, James Haley, Bruno Turcksin, Jesse McGaha, Benjamin Mint
 z, Feiyi Wang, Mallikarjun Shankar, Sarp Oral, and Rafael Ferreira da Silv
 a (Oak Ridge National Laboratory (ORNL))\n---------------------\nAccelerat
 ing Advanced Light Source Science Through Multi-Facility HPC Workflows\n\n
 Synchrotron light sources support a wide array of techniques to investigat
 e materials, often producing complex, high-volume data that challenge trad
 itional workflows. At the Advanced Light Source (ALS), we developed infras
 tructure to move microtomography data over ESnet to ALCF and NERSC, where 
 CPU-...\n\n\nDavid Abramov (Lawrence Berkeley National Laboratory (LBNL), 
 ALS); 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 
 Clark (Lawrence Berkeley National Laboratory (LBNL), ALS); Bjoern Enders (
 Lawrence Berkeley National Laboratory (LBNL), NERSC); Alexander Hexemer, J
 ason Jed, and Wiebke Koepp (Lawrence Berkeley National Laboratory (LBNL), 
 ALS); Harinarayan Krishnan (Lawrence Berkeley National Laboratory (LBNL), 
 CAMERA); Seij De Leon and Dilworth Parkinson (Lawrence Berkeley National L
 aboratory (LBNL), ALS); David Perlmutter (Lawrence Berkeley National Labor
 atory (LBNL), CAMERA); Raja Vyshnavi Sriramoju (Lawrence Berkeley National
  Laboratory (LBNL), ALS); Thomas Uram (Argonne National Laboratory (ANL), 
 ALCF); and Lee Lisheng Yang and Dylan McReynolds (Lawrence Berkeley Nation
 al Laboratory (LBNL), ALS)\n---------------------\nAdapting scientific str
 eaming inference workflows for a deterministic tensor processing unit\n\nT
 he realization of real-time data processing near X-ray detectors presents 
 ongoing challenges due to long ASIC development cycles and the limited com
 putational capacity of near-detector FPGAs. We propose a hybrid solution t
 hat streams data directly to a deterministic tensor processing unit (i.e.,
  Gr...\n\n\nSamantha Fowler, Kazutomo Yoshii, Antonino Miceli, Senthil Gna
 nasekaran, Tao Zhou, and Nicholas Contini (Argonne National Laboratory (AN
 L))\n---------------------\nStreaming X-ray Detector Data to Remote Facili
 ties Using EJFAT\n\nPropelled by the increasing need for the near real-tim
 e feedback for user experiments on its X-ray beamlines, the Advanced Photo
 n Source continues to investigate the use of streaming workflows, with sev
 eral of those being successfully deployed on its local computing infrastru
 cture. With ever-growing...\n\n\nSinisa Veseli, John Hammonds, Steven Henk
 e, Madeline Miller, and Hannah Parraga (Argonne National Laboratory (ANL))
 ; Ilya Baldin (Thomas Jefferson National Accelerator Facility); Derek Howa
 rd and Yatish Kumar (Energy Sciences Network (ESnet)); and Nicholas Schwar
 z (Argonne National Laboratory (ANL))\n\nRecording: Livestreamed, Recorded
 \n\nRegistration Category: Technical Program Reg Pass, Workshop Reg Pass\n
 \nSession Chairs: Justin Wozniak (Argonne National Laboratory (ANL), Unive
 rsity of Chicago); Nicholas Schwarz (Argonne National Laboratory (ANL)); a
 nd Hannah Parraga (Argonne National Laboratory (ANL))
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