Title :
The application of tiny triplet finder (TTF) in BTeV pixel trigger
Author :
Wu, Jinyuan ; Wang, M. ; Gottschalk, E. ; Shi, Z.
Author_Institution :
Fermi Nat. Accelerator Lab., Batavia, IL
Abstract :
We describe a track segment recognition scheme called the tiny triplet finder (TTF) that involves the grouping of three hits satisfying a constraint such as the forming of a straight line. The TTF performs this O(n3) function in O(n) time, where n is number of hits in each detector plane. The word "tiny" reflects the fact that the FPGA resource usage is small. The number of logic elements needed for the TTF is O(Nlog(N)), where N is the number of bins in the coordinate considered, which for large N, is significantly smaller than O(N2 ) that many typical implementations of similar functions need to use. The TTF is also suitable for software implementations as well as many other pattern recognition problems
Keywords :
computational complexity; field programmable gate arrays; high energy physics instrumentation computing; particle detectors; BTeV pixel trigger; FPGA resource usage; detector plane; field programmable gate array; logic element; pattern recognition problem; software implementation; tiny triplet finder; track segment recognition; Associative memory; Cams; Detectors; Field programmable gate arrays; Logic; Pattern matching; Registers; Roads; Sensor arrays; Silicon;
Conference_Titel :
Real Time Conference, 2005. 14th IEEE-NPSS
Conference_Location :
Stockholm
Print_ISBN :
0-7803-9183-7
DOI :
10.1109/RTC.2005.1547448