Visit of Chinese Academy of Sciences

Europe/Paris
202 (CC-IN2P3)

202

CC-IN2P3

21 Avenue Pierre de Coubertin CS70202 69627 VILLEURBANNE Cedex FRANCE Lat: 45° 46' 57.8" N Lon: 4° 51' 54.9" E
Fabio Hernandez (CC-IN2P3)
Description

Visit of representatives of the Chinese Academy of Sciences (CAS) to discuss research e-infrastructures. This visit is part of a tour of several European research e-infrastructures.

The CAS representatives below confirmed their participation:

Keywords: big data, e-infrastructures for science, machine learning, artificial intelligence, high performance computing, high throughput computing.

Annotated map of the area around CC-IN2P3
Directions to CC-IN2P3
Participants
  • Adil Khalfa
  • Benoit DELAUNAY
  • Bertrand Rigaud
  • Emille Ishida
  • Eric Fede
  • Fabien Wernli
  • Fabio Hernandez
  • Ghita Rahal
  • Loïc Tortay
  • Sébastien Gadrat
  • Volker Beckmann
  • Xavier Canehan
    • 1
      Welcome and introduction
      Orateur: Fabio Hernandez (CC-IN2P3)
    • 2
      The e-Infrastructures for science in CAS
      Orateur: Dr MingQi CHEN (Chinese Academy of Sciences)
    • 3
      CAS Computer Network Information Center (CNIC): status and plans
      Orateur: Dr Yang WANG (CNIC - CAS)
    • 4
      e-Infrastructures for science in France and Europe
      Orateur: Dr Volker Beckmann (CNRS / IN2P3)
    • 5
      IN2P3 computing center: status and plans
      Orateur: Pierre-Etienne Macchi (CC-IN2P3)
    • 15:05
      Coffee and tea break
    • 6
      Streaming pattern recognition and semantic analysis: investigating the next steps in log analysis at CCIN2P3
      Orateur: Dr Fabien Wernli (Sysadmin)
    • 7
      Advances in machine learning tools for high energy physics
      Orateur: Dr David Rousseau (LAL-Orsay)
    • 8
      High Energy Physics : The Large Hadron Collider Data and Computing
      Orateur: M. Eric Fede (CC IN2P3/CNRS)
    • 9
      The Large Synoptic Survey Telescope (LSST): big data for astrophysics research
      Orateur: Fabio Hernandez (CC-IN2P3)
    • 10
      Machine Learning challenges and opportunities in LSST
      Orateur: Dr Emille Ishida (LPC-UBP)
    • 11
      Conclusions and wrap up
      Orateur: Fabio Hernandez (CC-IN2P3)
    • 12
      Visit to the machine rooms
      Orateur: M. Xavier Canehan (CC-IN2P3)