Machine Learning for the LHC Distributed Data Placement and Track Finding

Europe/Moscow
Other Institutes

Other Institutes

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
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
    • 1
      NRC KI Welcome
      Speaker: Vasily Velikhov (National Research Centre Kurchatov Institute (RU))
    • 2
      Introduction and Workshop Primary Goals
      Speakers: Alexei Klimentov (Brookhaven National Laboratory (US)), Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Paolo Calafiura (Lawrence Berkeley National Lab. (US))
    • Machine Learning Principles, Tools and Libraries (I)
      Convener: Mario Lassnig (CERN)
      • 3
        Machine Learning hands-on
        Speakers: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Dr Rogozhnikov Alexey (School of Data Analysis)
        • a) Machine Learning Introduction
          Speaker: Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))
        • b) Machine Learning for Tracking
          Speaker: Aleksei Rogozhnikov (Yandex School of Data Analysis (RU))
    • 12:30 PM
      lunch
    • Machine Learning Tools, Principles and Libraries (II)
      Convener: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
      • 4
        Topological Trigger Optimization
        Speaker: Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
      • 5
        Flavour Tagging Optimization
        Speakers: Denis Derkach (Yandex School of Data Analysis (RU)), Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
    • 3:10 PM
      Tea break
    • Data Placement
      Convener: Alexei Klimentov (Brookhaven National Laboratory (US))
      • 6
        Data Placement Policy Evolution in ATLAS
        Speakers: Alexei Klimentov (Brookhaven National Laboratory (US)), Mario Lassnig (CERN)
        • a) Computing Model (from Monarc to "mesh")
        • b) Data formats and data popularity
        • c) PD2P - PanDA Dynamic Data Placement : concept and realization
        • d) Rucio : Architecture overview
        • e) ATLAS Data (Run1, Run2 and beyond)
        • f) Sources of (data) meta-information
        • g) Topics of interest
      • 7
        Data Placement and Data Handling in LHCb
        Speakers: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)), Mikhail Hushchyn (Yandex School of Data Analysis (RU))
      • 8
        Data Placement simulation and Distributed Computing Simulation - round table discussion
    • 6:30 PM
      Bus to JINR (Dubna)
    • 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
    • Deep Learning Tutorial by Yandex (TBC)