Francesco Crescioli
Centre national de la recherche scientifique
11 Papers
28 Citations
Francesco Crescioli is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Field-programmable gate array & Content-addressable memory. The author has an hindex of 4, co-authored 11 publications.
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Papers
Next generation Associative Memory devices for the FTK tracking processor of the ATLAS experiment
A. Andreani,Alberto Annovi,R. Beccherle,M. Beretta,M. Citterio,Francesco Crescioli,Alessandro Colombo,Paola Giannetti,Valentino Liberali,Jafar Shojaii,Alberto Stabile +10 more
- 22 Nov 2013
TL;DR: The architecture, design considerations, power consumption and performance measurements of the 4th generation of AMchip are presented and also the design innovations toward the 5th generation and the first prototype results are presented.
A low-power and high-density Associative Memory in 28 nm CMOS technology
Alberto Annovi,G. Calderini,Francesco Crescioli,Francesco De Canio,Luca Frontini,Takashi Kubota,Valentino Liberali,Pierluigi Luciano,Fabrizio Palla,Seyed Ruhollah Shojaii,Calliope Louisa Sotiropoulou,Alberto Stabile,Gianluca Traversi +12 more
- 01 May 2017
TL;DR: A new Associative Memory (AM) chip designed in the 28 nm TSMC HPL technology is presented, with reduced power consumption and an increased memory cell area density by the use of two newly designed memory cell technologies.
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A XOR-based associative memory block in 28 nm CMOS for interdisciplinary applications
Alberto Annovi,Andrea Baschirotto,Matteo M. Beretta,Nicolo Vladi Biesuz,Saverio Citraro,Francesco Crescioli,Marcello De Matteis,Federico Fary,Luca Frontini,Paola Giannetti,Valentino Liberali,Pierluigi Luciano,Fabrizio Palla,A. Pezzotta,Seyed Ruhollah Shojaii,Calliope Louisa Sotiropoulou,Alberto Stabile +16 more
- 01 Dec 2015
TL;DR: A Content Addressable Memory architecture designed in 28 nm CMOS technology and based on the 65 nm XORAM cell, which is useful for several pattern recognition tasks, such as track recognition in high energy physics experiments, and image recognition for medical applications.
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Next generation associative memory devices for the FTK tracking processor of the ATLAS experiment
Matteo Beretta,Alberto Annovi,A. Andreani,M. Citterio,A. Colombo,Valentino Liberali,Seyed Ruhollah Shojaii,Alberto Stabile,R. Beccherle,Paola Giannetti,Francesco Crescioli +10 more
TL;DR: In this paper, the Fast Track Trigger (FTK) was proposed to improve the efficiency and background rejection for triggers on tau leptons and b-hadrons by the second level trigger and help reduce the luminosity dependence of isolation requirements for electrons and muons.
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Study of dosimetric observables to be used in Active Pixel Sensor based devices for Interventional Radiology applications
L. Bissi,Pisana Placidi,E. Conti,D. Magalotti,M. Paolucci,Andrea Scorzoni,Giovanni Verzellesi,Leonello Servoli,Francesco Crescioli +8 more
- 01 Oct 2013
TL;DR: The authors present a novel approach to perform on line monitoring of the staff during interventional procedures by using a device based on a CMOS Active Pixel Sensor (APS) with linear correlation with dosimetric measurements made using TLDs.
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