Study of hardware implementations of fast tracking algorithms. (22nd February 2017)

• Record Type: Journal Article
• Authors: Song, Z.; Lentdecker, G. De; Dong, J.; Huang, G.; Léonard, A.; Robert, F.; Wang, D.; Yang, Y.
• Is Part Of: Journal of instrumentation. Volume 12:Number 2(2017:Feb.)
• Page Start: C02068
• Page End: C02068
• Publication Date: 2017-02-22
• Subjects: Particle tracking detectors -- Pattern recognition, cluster finding, calibration and fitting methods -- Trigger algorithms; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/12/02/C02068
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: 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 FPGA firmware. In this note we report on a case study of a possible FPGA hardware 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.