Investigates the possibility of performing pattern recognition tasks by special purpose processors, which are entirely hardwired and designed for high speed execution of a specific task. The aim is two- fold: i) to be able to apply reasonable selection criteria on events using the topology results from the processors. It is expected that this can reduce the number of events retained for further analysis by a factor of 10-100 or even more. ii) to reduce the computer time for total analysis of selected events by performing the time-consuming pattern recognition elsewhere. (4 refs)
The increment of luminosity at HL-LHC will require the introduction of tracker information at Level-...
A novel type of 'recognition engine' chip may revolutionize the detection of electronic intruders. A...
ABSTRACT: We present the results of an R&D study of a specialized processor capable of precisely...
Pattern recognition as used in triggers for large particle physics experiments should be at the same...
We present a specialized processor dedicated to on-line track pattern recognition in high energy phy...
The authors describe a VLSI processor for pattern recognition based on content addressable memory (C...
This thesis presents a feasibility analysis for hardware acceleration of the pattern recognition alg...
The authors describe a VLSI processor for pattern recognition based on content addressable memory (C...
Targeted at high-energy physics research applications, our special-purpose analog neural processor c...
Hardware-based pattern recognition for fast triggering on particle tracks has been successfully used...
Special-purpose computers are appropriate tools for the study of lattice gauge theory. While these m...
We present the results of an R&D study of a specialized processor capable of precisely reconstructin...
We present the results of an R&D study of a specialized processor capable of precisely reconstructin...
Discusses the design criteria of pulse processors with theoretical evaluations and experimental evid...
Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1960.MIT copy...
The increment of luminosity at HL-LHC will require the introduction of tracker information at Level-...
A novel type of 'recognition engine' chip may revolutionize the detection of electronic intruders. A...
ABSTRACT: We present the results of an R&D study of a specialized processor capable of precisely...
Pattern recognition as used in triggers for large particle physics experiments should be at the same...
We present a specialized processor dedicated to on-line track pattern recognition in high energy phy...
The authors describe a VLSI processor for pattern recognition based on content addressable memory (C...
This thesis presents a feasibility analysis for hardware acceleration of the pattern recognition alg...
The authors describe a VLSI processor for pattern recognition based on content addressable memory (C...
Targeted at high-energy physics research applications, our special-purpose analog neural processor c...
Hardware-based pattern recognition for fast triggering on particle tracks has been successfully used...
Special-purpose computers are appropriate tools for the study of lattice gauge theory. While these m...
We present the results of an R&D study of a specialized processor capable of precisely reconstructin...
We present the results of an R&D study of a specialized processor capable of precisely reconstructin...
Discusses the design criteria of pulse processors with theoretical evaluations and experimental evid...
Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1960.MIT copy...
The increment of luminosity at HL-LHC will require the introduction of tracker information at Level-...
A novel type of 'recognition engine' chip may revolutionize the detection of electronic intruders. A...
ABSTRACT: We present the results of an R&D study of a specialized processor capable of precisely...