EPJ Web of Conferences (Jan 2017)

FPGA-Based Tracklet Approach to Level-1 Track Finding at CMS for the HL-LHC

  • Bartz Edward,
  • Chaves Jorge,
  • Gershtein Yuri,
  • Halkiadakis Eva,
  • Hildreth Michael,
  • Kyriacou Savvas,
  • Lannon Kevin,
  • Lefeld Anthony,
  • Ryd Anders,
  • Skinnari Louise,
  • Stone Robert,
  • Strohman Charles,
  • Tao Zhengcheng,
  • Winer Brian,
  • Wittich Peter,
  • Zientek Margaret

DOI
https://doi.org/10.1051/epjconf/201715000016
Journal volume & issue
Vol. 150
p. 00016

Abstract

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During the High Luminosity LHC, the CMS detector will need charged particle tracking at the hardware trigger level to maintain a manageable trigger rate and achieve its physics goals. The tracklet approach is a track-finding algorithm based on a road-search algorithm that has been implemented on commercially available FPGA technology. The tracklet algorithm has achieved high performance in track-finding and completes tracking within 3.4 μs on a Xilinx Virtex-7 FPGA. An overview of the algorithm and its implementation on an FPGA is given, results are shown from a demonstrator test stand and system performance studies are presented.