Machine Learning for the LHC Distributed Data Placement and Track Finding

Name: Machine Learning for the LHC Distributed Data Placement and Track Finding
Start: 2015-12-07T10:00:00+03:00
End: 2015-12-09T20:00:00+03:00
Location: Other Institutes

7 Dec 2015, 10:00 → 9 Dec 2015, 20:00 Europe/Moscow

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

41 View full list

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
- 10:00 → 10:10
  
  Welcome frоm LIT JINR Director 10m
  
  Speaker: Vladimir Korenkov (Joint Inst. for Nuclear Research (RU))
- 10:10 → 11:40
  
  Data Science at LHC Workshop Highlights 1h 30m
  
  Speakers: David Rousseau (LAL-Orsay, FR), Dirk Duellmann (CERN)
  
  dirkd-ml-dubna_20151208.pdf
  
  tr151208_davidRousseau_MLDubna_DSLHC2015_conclusion.pptx.pdf
  
  tr151208_davidRousseau_MLDubna_DSLHC2015_summary.pptx.pdf
- 11:40 → 12:40
  Machine Learning Tools, Principles and Libraries (III)
  - 11:40
    
    Track Finding (COMET & SHIP) 1h
    
    Speaker: Mikhail Hushchyn (Yandex School of Data Analysis (RU))
    
    Hushchyn_tracking_presentation.pdf
- 12:40 → 14:00
  
  lunch 1h 20m
- 14:00 → 14:30
  
  LHCbEventIndex - applications and possibilities 30m
  
  Speaker: Nikita Kazeev (Yandex School of Data Analysis (RU))
  
  event_index_dubna_2015.pdf
- 14:30 → 14:50
  
  ML for anomaly detection in HEP detector (LHCb) 20m
  
  Speaker: Nikita Kazeev (Yandex School of Data Analysis (RU))
  
  dubna-2015-anomalies.pdf
- 14:50 → 15:50
  
  Data-Intensive Applications on HPC Using Hadoop, Spark and RADICAL-Cybertools 1h
  
  Speaker: Prof. Shantenu Jha (Rutgers University)
  
  link to vydio conf (talk will be given remotely)
  
  slides
- 15:50 → 16:20
  ML and Distributed Computing Modeling activities at LIT JINR 30m
  
  Speaker: Prof. Ososkov Gennady (JINR)
  
  New things in wavelet analysis.pdf
  
  New things in wavelet analysis.pptx
  
  Ososkov_Pattern Recognition_ in_HEP.pdf
  
  Ososkov_Pattern Recognition_ in_HEP.pptx
  - pattern recognition in HEP
- 16:20 → 16:40
  
  tea break 20m
- 16:40 → 18:00
  
  round table discussion 1h 20m
- 19:00 → 21:30
  
  Workshop dinner
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