Login

DOE ASCR Project : Resilient Federated Workflows in a Heterogeneous Computing Environment Technical Meeting

→ America/New_York
zoom meeting (Zoom meeting)

zoom meeting

Zoom meeting
Alexei Klimentov (Brookhaven National Laboratory (US))
Description

Zoom link : 

https://cern.zoom.us/j/69450913741?pwd=dXCbHtmaVAzZMka1jKGEb0umA4j5sn.1

BNL : Bldg. 725 Conference room A

 

 

live notes
    • 1
      Top of the meeting

      -- 2025: EndofYear WS @ORNL: Finalize dates of the end-of-year workshop
      -- SC25 Highlights

      Speakers: Alexei Klimentov (Brookhaven National Laboratory (US)), Joseph Boudreau (University of Pittsburgh (US)), Joseph Boudreau (University of Pittsburgh), Scott Klasky
      • a) January 2025 REDWOOD Workshop at ORNL
        Speaker: Scott Klasky
      • b) SC25 highlights
        Speakers: Adolfy Hoisie (Brookhaven National Laboratory (US)), Alexei Klimentov (Brookhaven National Laboratory (US)), Joseph Boudreau (University of Pittsburgh), Kenny Lo, Kenny Weng Kong Lo, Ozgur Ozan Kilic (Brookhaven National Laboratory), Raees Ahmad Khan (University of Pittsburgh (US))
    • 2
      Track 4 : Modeling and Simulation status report
      Speakers: Adolfy Hoisie (Brookhaven National Laboratory (US)), Ozgur Ozan Kilic (Brookhaven National Laboratory), Paul Nilsson (Brookhaven National Laboratory (US)), Raees Ahmad Khan (University of Pittsburgh (US)), Ray Ren (Brookhaven National Laboratory (US))
      CGSim-Updates.pdf
    • 3
      Track 2 : NRT workflows status report
      Speakers: Frederic Suter, Norbert Podhorszki (Unknown), Norbert Podhorszki (Oak Ridge National Laboratory), Scott Klasky
      Redwood-NRT-update-12-1-2025.pdf
    • 4
      Track 1 : HT workflows status report
      Speakers: Paul Nilsson (Brookhaven National Laboratory (US)), Paul Nilsson, Shengyu Feng (CMU), Shinjae Yoo, Tadashi Maeno (Brookhaven National Laboratory (US)), Dr Tasnuva Chowdhury (Brookhaven National Laboratory (US))
      Optimizing PanDA with GNN + RL
      Self-rewarding Reinforcement Learning for Distributed Computing Optimization
      Self-rewarding Reinforcement Learning for Distributed Computing Optimization
    • 5
      Track 3 : Monitoring and Integration status report
      Speakers: Joseph Boudreau (University of Pittsburgh), Joseph Boudreau (University of Pittsburgh (US)), Tatiana Korchuganova (University of Pittsburgh (US)), Wei Yang (SLAC National Accelerator Laboratory (US))
      AskPandaNextSteps.pdf
    • 6
      round table