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Study of hardware implementations of fast tracking algorithms

par Song, Zixuan ;De Lentdecker, Gilles ;Dong, Jianmeng ;Huang, G.;Léonard, Amaury;Robert, F.;Wang, D.;Yifan, Yang
Référence Journal of Instrumentation, 12, 2, C02068
Publication Publié, 2017-02

Article révisé par les pairs

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Résumé :

Real-time track reconstruction at high event rates is a major challenge for future experiments in high energy physics. To perform pattern-recognition and track fitting, artificial retina or Hough transformation methods have been introduced in the field which have to be implemented in FPGAfirmware. In this notewe report on a case study of a possible FPGAhardware implementation approach of the retina algorithm based on a Floating-Point core. Detailed measurements with this algorithm are investigated. Retina performance and capabilities of the FPGA are discussed along with perspectives for further optimization and applications.