We propose a new generation of VLSI processors for pattern recognition, based on associative memory architecture, optimized for online track finding in high-energy physics experiments. We describe the architecture, the technology studies and the prototype design of a new associative memory project: it maximizes the pattern density on the ASIC, minimizes the power consumption and improves the functionality for the fast tracker processor proposed to upgrade the ATLAS trigger at LHC.

Associative memory design for the fast track processor (FTK) at ATLAS2011 IEEE Nuclear Science Symposium Conference Record

DELL'ORSO, MAURO;
2011-01-01

Abstract

We propose a new generation of VLSI processors for pattern recognition, based on associative memory architecture, optimized for online track finding in high-energy physics experiments. We describe the architecture, the technology studies and the prototype design of a new associative memory project: it maximizes the pattern density on the ASIC, minimizes the power consumption and improves the functionality for the fast tracker processor proposed to upgrade the ATLAS trigger at LHC.
2011
9781467301183
9781467301190
9781467301206
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/538950
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