Speaker
Alberto Annovi
(Istituto Nazionale Fisica Nucleare (IT))
Description
We describe a VLSI processor for pattern recognition based on Content Addressable Memory (CAM) architecture,
optimized for on-line track finding in high-energy physics experiments.
We have developed this device using 65 nm technology combining a full custom CAM cell with standard-cell control logic.
The customized design maximizes the pattern density, minimizes the power consumption and implements the
functionalities needed for the planned Fast Tracker, an ATLAS trigger upgrade project at LHC.
We introduce a new variable resolution pattern matching technique using “don’t care” bits to set the pattern-matching
window for each pattern and each layer can be independently.
Authors
Alberto Annovi
(Istituto Nazionale Fisica Nucleare (IT))
Alberto Stabile
(Università degli Studi e INFN Milano (IT))
Francesco Crescioli
(Sezione di Pisa (IT))
Dr
Guido Volpi
(Istituto Nazionale Fisica Nucleare (IT))
Ilaria Sacco
(University of Heidelberg)
Matteo Mario Beretta
(Istituto Nazionale Fisica Nucleare (IT))
Mauro Dell'Orso
(Dipartimento di Fisica)
Paola Giannetti
(Sezione di Pisa (IT))
Prof.
Valentino Liberali
(Università degli Studi di Milano)
