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Fast Machine Learning

10–13 Sept 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))
    10/09/2019, 13:00
  2. 5. The IRIS-HEP Blueprint: Concepts and Process
    Mark Stephen Neubauer (Univ. Illinois at Urbana-Champaign)
    10/09/2019, 13:05
  3. 6. Overview of triggering and real-time systems
    Isobel Ojalvo (Princeton University (US))
    10/09/2019, 13:25
  4. 7. Future computing architectures
    Paolo Calafiura (Lawrence Berkeley National Lab. (US))
    10/09/2019, 13:55
  5. 8. Energy-efficient Machine Learning
    Andreas Moshovos (University of Toronto)
    10/09/2019, 14:30
  6. 9. (Fast) Machine Learning at the LHC
    Dr Jean-Roch Vlimant (California Institute of Technology (US))
    10/09/2019, 15:20
  7. 10. (Fast) Machine Learning in Cosmology
    Brian Nord (Fermi National Accelerator Laboratory), Brian Nord (Fermi National Accelerator Laboratory)
    10/09/2019, 15:50
  8. 11. (Fast) Machine Learning for Accelerators
    Auralee Edelen (SLAC)
    10/09/2019, 16:20
  9. 12. (Fast) Machine Learning for Neutrinos
    Georgia Karagiorgi
    10/09/2019, 16:50
  10. 13. (Fast) Machine Learning for Gravitational Waves
    Eliu Huerta Escudero (UIUC)
    10/09/2019, 17:20
  11. 31. Workshop Dinner
    10/09/2019, 19:00

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

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  12. 14. hls4ml status
    Jennifer Ngadiuba (CERN)
    11/09/2019, 08:30
  13. 15. Real-time AI systems (Academia)
    Giuseppe Di Guglielmo (Columbia University)
    11/09/2019, 08:55
  14. 16. Real-time AI Systems (Industry)
    Jason Vidmar (Xilinx)
    11/09/2019, 09:20
  15. 17. Neuromorphic photonics
    Charles Roques-Carmes (MIT), Liane Bernstein (MIT)
    11/09/2019, 09:50
  16. 18. Heterogenous Computing as a Service (Industry)
    Andrew Putnam (Microsoft), Kalin Ovtcharov (Microsoft)
    11/09/2019, 10:45
  17. 20. SONIC status
    Miaoyuan Liu (Fermi National Accelerator Lab. (US))
    11/09/2019, 11:20
  18. 19. Heterogenous Computing as a Service (Academia)
    Naif Tarafdar (University of Toronto)
    11/09/2019, 11:45
  19. 21. Training over Distributed Computing Systems
    Jean-Roch Vlimant (California Institute of Technology (US))
    11/09/2019, 13:15
  20. 32. Distributed Training on HPC
    Aaron Saxton (University of Illinois, NCSA)
    11/09/2019, 13:35
  21. 22. Scalable Systems Laboratory
    Robert William Gardner Jr (University of Chicago (US))
    11/09/2019, 13:55
  22. 24. Real-time RF Processing
    EJ Kreinar (Hawkeye360)
    11/09/2019, 14:20
  23. 25. Reconstruction at Nova
    Thomas Warburton (Fermi National Accelerator Laboratory)
    11/09/2019, 14:32
  24. 26. Searching for Black Holes with ML
    Sean Condon (MIT)
    11/09/2019, 14:44
  25. 29. Deep Cleaning for Gravitational Wave Data
    Tri Nguyen (MIT)
    11/09/2019, 14:51
  26. 30. Graph NNs for LHC reconstruction
    Lindsey Gray (Fermi National Accelerator Lab. (US))
    11/09/2019, 15:03
  27. 1. Docker and Kubernetes
    Maria Acosta (Fermi National Accelerator Laboratory), Maria Acosta Flechas (Fermi National Accelerator Lab. (US))
    12/09/2019, 09:00
  28. 27. Azure
    Ted Way (Microsoft)
    12/09/2019, 09:30
  29. 2. Galapagos
    Dylan Sheldon Rankin (Massachusetts Inst. of Technology (US)), Naif Tarafdar (University of Toronto)
    12/09/2019, 11:15
  30. 3. hls4ml
    Javier Mauricio Duarte (Univ. of California San Diego (US)), Sioni Paris Summers (CERN), Zhenbin Wu (University of Illinois at Chicago (US))
    12/09/2019, 14:00
  31. 28. hls4ml
    12/09/2019, 15:45
  32. 33. hls4ml tutorial continued (non-tornado version)
    13/09/2019, 09:00
  33. 23. Lightning round