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arXiv · 1706.09225

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

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

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 $\mu$s 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.

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Edward Bartz, Jorge Chaves, Yuri Gershtein, Eva Halkiadakis, Michael Hildreth, Savvas Kyriacou, Kevin Lannon, Anthony Lefeld, Anders Ryd, Louise Skinnari, Robert Stone, Charles Strohman, Zhengcheng Tao, Brian Winer, Peter Wittich, Margaret Zientek. 2017-06-28. FPGA-Based Tracklet Approach to Level-1 Track Finding at CMS for the HL-LHC. https://doi.org/10.1051/epjconf/201715000016

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