Sep 20 – 24, 2010
Aachen, Germany
Europe/Zurich timezone

Associative Memory design for the Fast TracK processor (FTK) at Atlas

Sep 23, 2010, 4:00 PM
2h
Aula

Aula

Poster ASICs POSTERS Session

Speaker

Matteo Beretta (Istituto Nazionale Fisica Nucleare (INFN) - Laboratori Nazionali di Frascati)

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. A large CAM bank stores all trajectories of interest and extracts the ones compatible with a given event. This task is naturally parallelized by a CAM architecture able to output identified trajectories, recognized among a huge amount of possible combinations, in just a few 100 MHz clock cycles. We have developed this device (called the AMchip03 processor), using 180 nm technology, for the Silicon Vertex Trigger (SVT) upgrade at CDF using a standard-cell VLSI design methodology. We propose now a new design (90 nm technology) where we introduce a full custom standard cell. This is a customized design that allows to maximize the pattern density and to minimize the power consumption. We discuss also possible future extensions based on 3-D technology. This processor has a flexible and easily configurable structure that makes it suitable for applications also in other experimental environments.

Primary authors

Alberto Annovi (Istituto Nazionale Fisica Nucleare (INFN) - Laboratori Nazionali di Frascati) Matteo Beretta (Istituto Nazionale Fisica Nucleare (INFN) - Laboratori Nazionali di Frascati)

Presentation materials

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