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    Fast Machine Learning

    Sep 10 – 13, 2019
    Fermi National Accelerator Laboratory
    US/Central timezone

    An IRIS-HEP Blueprint Workshop

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    Contribution List

    33 out of 33 displayed
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    1. 4. Welcome to the LPC
      Sergo Jindariani (Fermi National Accelerator Lab. (US))
      9/10/19, 1:00 PM
    2. 5. The IRIS-HEP Blueprint: Concepts and Process
      Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)
      9/10/19, 1:05 PM
    3. 6. Overview of triggering and real-time systems
      Isobel Ojalvo (Princeton University (US))
      9/10/19, 1:25 PM
    4. 7. Future computing architectures
      Paolo Calafiura (Lawrence Berkeley National Lab. (US))
      9/10/19, 1:55 PM
    5. 8. Energy-efficient Machine Learning
      Andreas Moshovos (University of Toronto)
      9/10/19, 2:30 PM
    6. 9. (Fast) Machine Learning at the LHC
      Dr Jean-Roch Vlimant (California Institute of Technology (US))
      9/10/19, 3:20 PM
    7. 10. (Fast) Machine Learning in Cosmology
      Brian Nord (Fermi National Accelerator Laboratory), Brian Nord (Fermi National Accelerator Laboratory)
      9/10/19, 3:50 PM
    8. 11. (Fast) Machine Learning for Accelerators
      Auralee Edelen (SLAC)
      9/10/19, 4:20 PM
    9. 12. (Fast) Machine Learning for Neutrinos
      Georgia Karagiorgi
      9/10/19, 4:50 PM
    10. 13. (Fast) Machine Learning for Gravitational Waves
      Eliu Huerta Escudero (UIUC)
      9/10/19, 5:20 PM
    11. 31. Workshop Dinner
      9/10/19, 7:00 PM

      The workshop dinner will be on Tuesday at 7 pm at MingHin Cuisine restaurant in Naperville.

      Go to contribution page
    12. 14. hls4ml status
      Jennifer Ngadiuba (CERN)
      9/11/19, 8:30 AM
    13. 15. Real-time AI systems (Academia)
      Giuseppe Di Guglielmo (Columbia University)
      9/11/19, 8:55 AM
    14. 16. Real-time AI Systems (Industry)
      Jason Vidmar (Xilinx)
      9/11/19, 9:20 AM
    15. 17. Neuromorphic photonics
      Charles Roques-Carmes (MIT), Liane Bernstein (MIT)
      9/11/19, 9:50 AM
    16. 18. Heterogenous Computing as a Service (Industry)
      Andrew Putnam (Microsoft), Kalin Ovtcharov (Microsoft)
      9/11/19, 10:45 AM
    17. 20. SONIC status
      Miaoyuan Liu (Fermi National Accelerator Lab. (US))
      9/11/19, 11:20 AM
    18. 19. Heterogenous Computing as a Service (Academia)
      Naif Tarafdar (University of Toronto)
      9/11/19, 11:45 AM
    19. 21. Training over Distributed Computing Systems
      Jean-Roch Vlimant (California Institute of Technology (US))
      9/11/19, 1:15 PM
    20. 32. Distributed Training on HPC
      Aaron Saxton (University of Illinois, NCSA)
      9/11/19, 1:35 PM
    21. 22. Scalable Systems Laboratory
      Robert William Gardner Jr (University of Chicago (US))
      9/11/19, 1:55 PM
    22. 24. Real-time RF Processing
      EJ Kreinar (Hawkeye360)
      9/11/19, 2:20 PM
    23. 25. Reconstruction at Nova
      Thomas Warburton (Fermi National Accelerator Laboratory)
      9/11/19, 2:32 PM
    24. 26. Searching for Black Holes with ML
      Sean Condon (MIT)
      9/11/19, 2:44 PM
    25. 29. Deep Cleaning for Gravitational Wave Data
      Tri Nguyen (MIT)
      9/11/19, 2:51 PM
    26. 30. Graph NNs for LHC reconstruction
      Lindsey Gray (Fermi National Accelerator Lab. (US))
      9/11/19, 3:03 PM
    27. 1. Docker and Kubernetes
      Maria Acosta (Fermi National Accelerator Laboratory), Maria Acosta Flechas (Fermi National Accelerator Lab. (US))
      9/12/19, 9:00 AM
    28. 27. Azure
      Ted Way (Microsoft)
      9/12/19, 9:30 AM
    29. 2. Galapagos
      Dylan Sheldon Rankin (Massachusetts Inst. of Technology (US)), Naif Tarafdar (University of Toronto)
      9/12/19, 11:15 AM
    30. 3. hls4ml
      Javier Mauricio Duarte (Univ. of California San Diego (US)), Sioni Paris Summers (CERN), Zhenbin Wu (University of Illinois at Chicago (US))
      9/12/19, 2:00 PM
    31. 28. hls4ml
      9/12/19, 3:45 PM
    32. 33. hls4ml tutorial continued (non-tornado version)
      9/13/19, 9:00 AM
    33. 23. Lightning round