Study of hardware implementations of fast tracking algorithms

doi:10.1088/1748-0221/12/02/C02068

	Study of hardware implementations of fast tracking algorithms
	Song, Z.; G. D. Lentdecker; J. Dong; G. Huang; A. Léonard; F. Robert; D. Wang; Y. Yang; Dong JM(董建蒙)
刊名	JOURNAL OF INSTRUMENTATION
	2017
卷号	12 页码:C02068
关键词	Particle tracking detectors Pattern recognition, cluster finding, calibration and fitting methods Trigger algorithms
ISSN号	1748-0221
DOI	10.1088/1748-0221/12/02/C02068
文献子类	Article
英文摘要	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.
WOS研究方向	Instruments & Instrumentation
语种	英语
WOS记录号	WOS:000397825800067
内容类型	期刊论文
源URL	[http://ir.ihep.ac.cn/handle/311005/284807]
专题	高能物理研究所_实验物理中心
作者单位	中国科学院高能物理研究所
推荐引用方式 GB/T 7714	Song, Z.,G. D. Lentdecker,J. Dong,et al. Study of hardware implementations of fast tracking algorithms[J]. JOURNAL OF INSTRUMENTATION,2017,12:C02068.
APA	Song, Z..,G. D. Lentdecker.,J. Dong.,G. Huang.,A. Léonard.,...&董建蒙.(2017).Study of hardware implementations of fast tracking algorithms.JOURNAL OF INSTRUMENTATION,12,C02068.
MLA	Song, Z.,et al."Study of hardware implementations of fast tracking algorithms".JOURNAL OF INSTRUMENTATION 12(2017):C02068.