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Machine Learning for the LHC Distributed Data Placement and Track Finding

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Bldg. 348 Room 322 National Research Center "Kurchatov Institute" (Moscow) Joint Institute of Nuclear Research (Dubna)
Alexei Klimentov (Brookhaven National Laboratory (US)), Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Paolo Calafiura (Lawrence Berkeley National Lab. (US)), Vladimir Korenkov (Joint Inst. for Nuclear Research (RU))
Description
doodle poll : http://doodle.com/poll/bkw87sxr8wtneuw4#table
Google map : ulitsa Marshala Biryuzova, 14, Moskva to ploshchad' Akademika Kurchatova, 1 строение 113, Moskva - Google Maps.pdf
WS location in Dubna (map_JINR.pdf)
Схема_проезда в НИЦ КИ.doc (How to reach NRC "Kurchatov Institute")
Participants
  • Aleksei Rogozhnikov
  • Alexander Nikolaev
  • Alexander Sboev
  • Alexander Zamyatin
  • Alexei Klimentov
  • Alexey Poyda
  • Andrew Klimenko
  • Andrey Polyakov
  • Andrey Ustyuzhanin
  • Anton Selivanov
  • David Rousseau
  • Denis Derkach
  • Dimitrii Krasnopevtsev
  • Dirk Duellmann
  • Dmitriy Gudovskih
  • Dmitry Serikov
  • Elizaveta Shutova
  • Emelian Andrioanov
  • Igor Nadezhdin
  • Ivan Moloshnikov
  • Ivan Tertychnyy
  • Ivan Vanushin
  • Konstantin Zaitsev
  • Lev Astakhov
  • Maksim Stulin
  • Maria Grigoryeva
  • Mario Lassnig
  • Maxim Bochkov
  • Mikhail Hushchyn
  • Nikita Kazeev
  • Pavel Velikhov
  • Robert Sevumyan
  • Ruslan Mashinistov
  • Rybka Roman
  • Sami Kama
  • Serge Smirnov
  • Shantenu Jha
  • Sophia Rodina
  • Tatiana Likhomanenko
  • Vladimir Korenkov
  • Vladimir Shevchenko
  • Monday, 7 December
    • 10:00 → 10:10
      NRC KI Welcome 10m
      Speaker: Vasily Velikhov (National Research Centre Kurchatov Institute (RU))
    • 10:10 → 10:20
      Introduction and Workshop Primary Goals 10m
      Speakers: Alexei Klimentov (Brookhaven National Laboratory (US)), Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Paolo Calafiura (Lawrence Berkeley National Lab. (US))
      ML_Intorduction.pdf
      ML_Intorduction.pptx
    • 10:20 → 12:30
      Machine Learning Principles, Tools and Libraries (I)
      Convener: Mario Lassnig (CERN)
      • 10:20
        Machine Learning hands-on 2h 10m
        Speakers: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Dr Rogozhnikov Alexey (School of Data Analysis)
        Rogozhnikov-Introduction to machine learning.pdf
        • Machine Learning Introduction 1h 20m
          Speaker: Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))
        • Machine Learning for Tracking 40m
          Speaker: Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))
    • 12:30 → 13:30
      lunch 1h
    • 13:30 → 15:10
      Machine Learning Tools, Principles and Libraries (II)
      Convener: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
      • 13:30
        Topological Trigger Optimization 40m
        Speaker: Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
        triggers.pdf
      • 14:10
        Flavour Tagging Optimization 1h
        Speakers: Denis Derkach (Yandex School of Data Analysis (RU)), Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
        tagging.pdf
    • 15:10 → 15:30
      Tea break 20m
    • 15:30 → 18:30
      Data Placement
      Convener: Alexei Klimentov (Brookhaven National Laboratory (US))
      • 15:30
        Data Placement Policy Evolution in ATLAS 40m
        Speakers: Alexei Klimentov (Brookhaven National Laboratory (US)), Mario Lassnig (CERN)
        ml_for_atlas_ddm.pdf
        • Computing Model (from Monarc to "mesh")
        • Data formats and data popularity
        • PD2P - PanDA Dynamic Data Placement : concept and realization
        • Rucio : Architecture overview
        • ATLAS Data (Run1, Run2 and beyond)
        • Sources of (data) meta-information
        • Topics of interest
      • 16:10
        Data Placement and Data Handling in LHCb 40m
        Speakers: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Mikhail Hushchyn (Yandex School of Data Analysis (RU))
        Hushchyn_datapop_presentation.pdf
      • 17:10
        Data Placement simulation and Distributed Computing Simulation - round table discussion 1h 10m
    • 18:30 → 19:50
      Bus to JINR (Dubna) 1h 20m
  • Tuesday, 8 December
  • Wednesday, 9 December
    • 09:30 → 12:30
      Data Placement and Distributed Computing Analytical Model: topical discussion about data placement for ATLAS et el Grid analytical model Deep learning tutorial (TBC) Splinter meetings
    • 09:30 → 12:30
      Deep Learning Tutorial by Yandex (TBC)
      Registration form
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