• Presentation on Mask Clustering for Velo by Daniel Campora
  • Need to define clustering efficiency
    • Standard clustering algorithm for Velo finds all clusters
    • Other algorithms:
      • Should find the same clusters as baseline algorithm
      • In addition compare distance to center of true cluster
      • Or compare all LHCb IDs of the clusters
  • Presentation on EB options by Rainer Schwemmer
    • Different options: normal density nodes / high density nodes / very high density nodes
    • Depending on chosen option, accelerators fit in EB nodes or in filter farm nodes or in separate box in filter farm
  • Presentation by Dorothea vom Bruch on cuda_hlt repository
    • Place to collect all GPU code and connect different pieces
    • Ongoing work on PrChecker implementation: should be part of main framework
    • The final output should include p_T, chi2 and other quantities used for the selection + the LHCb IDs of all objects used for selection (to be turned on / off by compiler flag depending on type of running: checking / performance)
-- DorotheaVomBruch - 2018-04-30
Edit | Attach | Watch | Print version | History: r1 | Backlinks | Raw View | WYSIWYG | More topic actions
Topic revision: r1 - 2018-04-30 - DorotheaVomBruch
 
    • Cern Search Icon Cern Search
    • TWiki Search Icon TWiki Search
    • Google Search Icon Google Search

    LHCb All webs login

This site is powered by the TWiki collaboration platform Powered by PerlCopyright & 2008-2019 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding TWiki? Send feedback