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TitoloAutoriLink a paper/conferenceAccepted for PUB/Proceeding
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Fast Neural Network Inference on FPGAs for Triggering on Long-Lived Particles at CollidersAndrea Coccaro Francesco Armando Di Bello Stefano Giagu Lucrezia Rambelli and Nicola Stocchettihttps://arxiv.org/pdf/2307.05152.pdf
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Sviluppo di acceleratori per il Machine Learning e sistemi di Inference as a Service su FPGADaniele Spiga
Diego Ciangottini
Giacomo Surace
Giulio Bianchini
Loriano Storchi
Mirko Mariotti 		Workshop Loano
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KServe inference extension for a FPGA vendor-free ecosystemDaniele Spiga
Diego Ciangottini
Giacomo Surace
Giulio Bianchini
Loriano Storchi
Mirko Mariotti 		CHEP 2023
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Deep Learning techniques for reconstruction on ASTRI Mini-Array Monte Carlo data Saverio Lombardi, Francesco Visconti, Michele Mastropietrohttps://pos.sissa.it/444/713/pdf
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A novel explainable approach in radiomics pipeline for local recurrence prediction of lung cancer: a feasibility study exploiting high energy physics potential to evaluate the modelMariagrazia Monteleone, Simone Gennai, Pietro Govoni, Chiara PaganelliACM ISBN 979-8-4007-0815-2/23/09.
https://doi.org/10.1145/3632047.3632074
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40MHz Scouting per il trigger di Livello 1 di CMSSabrina GiorgettiIFAE 2023
S. Giorgetti on behalf of the CMS Collaboration Nuovo Cim.C 47 (2024) 3, 122
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Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detectionGaia Grosso, Nicolò Lai, Matteo Migliorini, Jacopo Pazzini, Andrea Triossi, Marco Zanetti, Alberto ZucchettaCHEP 2023G. Grosso et al EPJ Web of Conf., 295 (2024) 02033
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40MHz Triggerless Readout of the CMS Drift Tube Muon DetectorMatteo Migliorini, Jacopo Pazzini, Andrea Triossi, Marco ZanettiTWEPP 2023M. Migliorini et al 2024 JINST 19 C02050
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Front-End RDMA Over Converged Ethernet, real-time firmware simulationGabriele Bortolato, Antonio Bergnoli, Damiano Bortolato, Daniele Mengoni, Matteo Migliorini, Fabio Montecassiano, Jacopo Pazzini, Sandro Ventura, Andrea Triossi, Marco ZanettiTWEPP 2023G. Bortolato et al 2024 JINST 19 C03038
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Front-End Rdma Over Converged Ethernet, real-time firmware simulationGabriele Bortolato, Antonio Bergnoli, Damiano Bortolato, Daniele Mengoni, Matteo Migliorini, Fabio Montecassiano, Jacopo Pazzini, Sandro Ventura, Andrea Triossi, Marco ZanettiTIPP 2023
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The CMS Level-1 trigger data scouting for LHC run 3 and the CMS phase-2 upgradeSabrina Giorgetti (Matteo Migliorini, Rocco Ardino, Jacopo Pazzini, Andrea Triossi, Marco Zanetti) on behalf of the CMS CollaborationLa Thuile 2024 - YSF
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Hardware implementation of quantum machine learning predictors for ultra-low latency applicationsLorenzo Borella, Alberto Coppi, Jacopo Pazzini, Andrea Stanco, Andrea Triossi, Marco ZanettiEuCAIFCon 2024
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Quantum machine learning classifiers implemented on FPGA for ultra-low latency applicationsLorenzo Borella, Alberto Coppi, Jacopo Pazzini, Andrea Stanco, Andrea Triossi, Marco ZanettiICHEP 2024
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The BondMachine ProjectMirko Mariotti, Giulio Bianchini, Loriano Storchi, Daniele Spiga, Diego Ciangottini, Giacomo Surace FDF 2024
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Tree Tensor Network inference on FPGALorenzo Borella, Alberto Coppi, Jacopo Pazzini, Andrea Stanco, Andrea Triossi, Marco ZanettiFDF 2024
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Front-End RDMA Over Converged Ethernet, lightweight RoCE endpointGabriele Bortolato, Antonio Bergnoli, Damiano Bortolato, Daniele Mengoni, Matteo Migliorini, Fabio Montecassiano, Jacopo Pazzini, Sandro Ventura, Andrea Triossi, Marco ZanettiCHEP 2024
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Ultra-low latency quantum-inspired machine learning predictors implemented on FPGALorenzo Borella, Alberto Coppi, Jacopo Pazzini, Andrea Stanco, Marco Trenti, Andrea Triossi, Marco Zanettihttps://arxiv.org/pdf/2409.16075
Submitted to Transactions on Emerging Topics in Computing
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Sviluppo di firmware per acceleratori FPGA: esperienze e casi d'uso per il calcolo scientifico verso il paradigma cloudGiulio BianchiniIncontri di Fisica delle Alte Energie 2024 (IFAE 2024)
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The BondMachine ProjectMirko Mariotti
1st FPGA Developers' Forum (FDF) meeting (11-13 June 2024): Overview
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Emulating the Quantum Computer on FPGAsMirko Mariotti AI_INFN Technical Meeting 22/07/2024
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Analysis of the W→3𝜋 decay as a use case for scouting-analyses on FPGAFrancesco Brivio, Paolo Dini, Simone GennaiSIF 2024
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