Real-Time Dispatcher support for A Toroidal LHC ApparatuS (a part of the Large Hadron Collider) - PowerPoint PPT Presentation

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Real-Time Dispatcher support for A Toroidal LHC ApparatuS (a part of the Large Hadron Collider)

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accelerator operators. scientists in general. HEP activity ... increase of a number of processed events from accelerator. 4. How to use it ... – PowerPoint PPT presentation

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Title: Real-Time Dispatcher support for A Toroidal LHC ApparatuS (a part of the Large Hadron Collider)


1
Real-Time Dispatcher support for A Toroidal LHC
ApparatuS (a part of the Large Hadron Collider)
  • Jan Pieczykolan1, Lukasz Dutka1, Krzysztof
    Korcyl2, Tomir Kryza1,3 and Jacek Kitowski1,3
  • 1ACC Cyfronet AGH
  • 2Institute of Nuclear Physics Polish Academy of
    Sciences
  • 3Univeristy of Science and Technology AGH

int.eu.grid meeting, Lisbon 12-15.XI.2007
2
Outline
  • The ATLAS project (int.eu.grid perspective)
  • Idea behind RTD
  • HEP High Energy Physics
  • Demo

3
The ATLAS experiment
  • 1800 physics
  • 150 universities and laboratories
  • 34 countries
  • Launch date - 2007

4
Basic application informations
  • Final users
  • physics
  • accelerator operators
  • scientists in general
  • HEP activity
  • an offer of an extra computational power
  • Result
  • increase of a number of processed events from
    accelerator

5
How to use it
  • In fact, ATLAS has a GUI )
  • HEP application is at the bottom of the ATLAS
  • The user doesnt see it
  • ATLAS is used in a typical way
  • Grid interaction
  • The user has to prepare a pool of available jobs
    on worker nodes HEP Portal

6
The ATLAS-HLT project
7
High Level Trigger
  • High frequency of incoming data events (chunks)
    that should be computed
  • On-line processing
  • Stream processing
  • Computation timeout
  • Events stream
  • Frequency about 3500 Hz
  • Size about 2 MB

8
Idea behind RTD
9
High Energy Physics
10
Possible problems
  • Technical issues
  • Integration with HEP Portal
  • Integration with Monitoring
  • Essential problems
  • Optimal choice of processing (worker) node
  • CPU/RAM/Network utilization
  • Optimal choice of number of concurrent workers

11
TODO
  • Experiments with optimal selection of worker
    nodes
  • What WN parameters should be checked
  • Dynamic change of worker nodes
  • Presentation at CERN
  • End of november 2007

12
Evaluation
  • Demo

13
Thank you!
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