Gianvito Urgese

According to our database, Gianvito Urgese authored at least 47 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

WiN-GUI: A graphical tool for neuron-based encoding.

Simon F. Müller-Cleve, Fernando M. Quintana, Vittorio Fra, Pedro L. Galindo, Fernando Perez-Peña, Gianvito Urgese, Chiara Bartolozzi

SoftwareX, 2024

ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers.

Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugering, Omowuyi Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A. Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G. Andreou, Sadasivan Shankar, Christian Mayr, Gert Cauwenberghs, Shantanu Chakrabartty

CoRR, 2024

An Ensemble Method for Calling and Ranking Somatic Structural Variants Using Long and Short Reads.

Walter Gallego Gomez, Elena Grassi, Andrea Bertotti, Gianvito Urgese

Proceedings of the 11th International Conference on Bioinformatics Research and Applications, 2024

Natively Neuromorphic LMU Architecture for Encoding-Free SNN-Based HAR on Commercial Edge Devices.

Vittorio Fra, Benedetto Leto, Andrea Pignata, Enrico Macii, Gianvito Urgese

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

EGAsubmitter: A software to automate submission of nucleic acid sequencing data to the European Genome-phenome Archive.

Marco Viviani, Marilisa Montemurro, Livio Trusolino, Andrea Bertotti, Gianvito Urgese, Elena Grassi

Frontiers Bioinform., May, 2023

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing.

Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik

CoRR, 2023

WaLiN-GUI: a graphical and auditory tool for neuron-based encoding.

Simon F. Müller-Cleve, Fernando M. Quintana, Vittorio Fra, Pedro L. Galindo, Fernando Perez-Peña, Gianvito Urgese, Chiara Bartolozzi

CoRR, 2023

RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project.

William Fornaciari, Federico Reghenzani, Giovanni Agosta, Davide Zoni, Andrea Galimberti, Francesco Conti, Yvan Tortorella, Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, Daniele Gregori, Salvatore Cognetta, Carlo Ciancarelli, Antonio Leboffe, Paolo Serri, Alessio Burrello, Daniele Jahier Pagliari, Gianvito Urgese, Maurizio Martina, Guido Masera, Rosario Di Carlo, Antonio Sciarappa

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

Neu-BrAuER: A Neuromorphic Braille Letters Audio-Reader for Commercial Edge Devices.

Vittorio Fra, Andrea Pignata, Riccardo Pignari, Enrico Macii, Gianvito Urgese

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

First steps towards micro-benchmarking the Lava-Loihi neuromorphic ecosystem.

Walter Gallego Gomez, Andrea Pignata, Riccardo Pignari, Vittorio Fra, Enrico Macii, Gianvito Urgese

Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

Review of open neuromorphic architectures and a first integration in the RISC-V PULP platform.

Michelangelo Barocci, Vittorio Fra, Enrico Macii, Gianvito Urgese

Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

2022

Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications.

Vittorio Fra, Evelina Forno, Riccardo Pignari, Terrence C. Stewart, Enrico Macii, Gianvito Urgese

Neuromorph. Comput. Eng., 2022

MirGeneDB 2.1: toward a complete sampling of all major animal phyla.

Bastian Fromm, Eirik Høye, Diana Domanska, Xiangfu Zhong, Ernesto Aparicio-Puerta, Vladimir Ovchinnikov, Sinan U. Umu, Peter J. Chabot, Wenjing Kang, Morteza Aslanzadeh, Marcel Tarbier, Emilio Mármol-Sánchez, Gianvito Urgese, Morten Johansen, Eivind Hovig, Michael Hackenberg, Marc R. Friedländer, Kevin J. Peterson

Nucleic Acids Res., 2022

Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware.

Simon F. Müller-Cleve, Vittorio Fra, Lyes Khacef, Alejandro Pequeño-Zurro, Daniel Klepatsch, Evelina Forno, Diego Gigena Ivanovich, Shavika Rastogi, Gianvito Urgese, Friedemann Zenke, Chiara Bartolozzi

CoRR, 2022

LaRA 2: parallel and vectorized program for sequence-structure alignment of RNA sequences.

Jörg Winkler, Gianvito Urgese, Elisa Ficarra, Knut Reinert

BMC Bioinform., 2022

2021

Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms.

Francesco Barchi, Gianvito Urgese, Alessandro Siino, Santa Di Cataldo, Enrico Macii, Andrea Acquaviva

IEEE Trans. Emerg. Top. Comput., 2021

Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions.

Santa Di Cataldo, Sara Vinco, Gianvito Urgese, Flaviana Calignano, Elisa Ficarra, Alberto Macii, Enrico Macii

Proc. IEEE, 2021

Exploration of Convolutional Neural Network models for source code classification.

Francesco Barchi, Emanuele Parisi, Gianvito Urgese, Elisa Ficarra, Andrea Acquaviva

Eng. Appl. Artif. Intell., 2021

PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity.

Marilisa Montemurro, Elena Grassi, Carmelo Gabriele Pizzino, Andrea Bertotti, Elisa Ficarra, Gianvito Urgese

BMC Bioinform., 2021

Configuring an Embedded Neuromorphic Coprocessor Using a RISC-V Chip for Enabling Edge Computing Applications.

Evelina Forno, Andrea Spitale, Enrico Macii, Gianvito Urgese

Proceedings of the 14th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2021

Modeling an Industrial Revolution: How to Manage Large-Scale, Complex IoT Ecosystems?

Géza Kulcsár, Pál Varga, Marek S. Tatara, Federico Montori, Michel A. Iñigo, Gianvito Urgese, Paolo Azzoni

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

2020

BioSeqZip: a collapser of NGS redundant reads for the optimization of sequence analysis.

Gianvito Urgese, Emanuele Parisi, Orazio M. Scicolone, Santa Di Cataldo, Elisa Ficarra

Bioinform., 2020

DEEPrior: a deep learning tool for the prioritization of gene fusions.

Marta Lovino, Maria Serena Ciaburri, Gianvito Urgese, Santa Di Cataldo, Elisa Ficarra

Bioinform., 2020

Unification of miRNA and isomiR research: the mirGFF3 format and the mirtop API.

Thomas Desvignes, Phillipe Loher, Karen Eilbeck, Jeffery Ma, Gianvito Urgese, Bastian Fromm, Jason Sydes, Ernesto Aparicio-Puerta, Víctor Barrera, Roderic Espín, Florian Thibord, Xavier Bofill-De Ros, Eric Londin, Aristeidis G. Telonis, Elisa Ficarra, Marc R. Friedländer, John H. Postlethwait, Isidore Rigoutsos, Michael Hackenberg, Ioannis S. Vlachos, Marc K. Halushka, Lorena Pantano

Bioinform., 2020

An Engineering Process model for managing a digitalised life-cycle of products in the Industry 4.0.

Gianvito Urgese, Paolo Azzoni, Jan van Deventer, Jerker Delsing, Enrico Macii

Proceedings of the NOMS 2020, 2020

Effective Evaluation of Clustering Algorithms on Single-Cell CNA data.

Marilisa Montemurro, Gianvito Urgese, Elena Grassi, Carmelo Gabriele Pizzino, Andrea Bertotti, Elisa Ficarra

Proceedings of the ICBBE 2020: 7th International Conference on Biomedical and Bioinformatics Engineering, 2020

2019

Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles.

Donkyu Baek, Yukai Chen, Alberto Bocca, Lorenzo Bottaccioli, Santa Di Cataldo, Valentina Gatteschi, Daniele Jahier Pagliari, Edoardo Patti, Gianvito Urgese, Naehyuck Chang, Alberto Macii, Enrico Macii, Paolo Montuschi, Massimo Poncino

IEEE Trans. Veh. Technol., 2019

Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR.

Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms.

Gianvito Urgese, Francesco Barchi, Enrico Macii, Andrea Acquaviva

IEEE Trans. Emerg. Top. Comput., 2018

A Parallel Hardware Architecture For Quantum Annealing Algorithm Acceleration.

Evelina Forno, Andrea Acquaviva, Yuki Kobayashi, Enrico Macii, Gianvito Urgese

Proceedings of the IFIP/IEEE International Conference on Very Large Scale Integration, 2018

Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis.

Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva

Proceedings of the VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms, 2018

Directed Graph Placement for SNN Simulation into a multi-core GALS Architecture.

Francesco Barchi, Gianvito Urgese, Andrea Acquaviva, Enrico Macii

Proceedings of the IFIP/IEEE International Conference on Very Large Scale Integration, 2018

Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks.

Marta Lovino, Gianvito Urgese, Enrico Macii, Santa Di Cataldo, Elisa Ficarra

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

Multiple alignment of packet sequences for efficient communication in a many-core neuromorphic system: work-in-progress.

Gianvito Urgese, Luca Peres, Francesco Barchi, Enrico Macii, Andrea Acquaviva

Proceedings of the International Conference on Compilers, 2018

Impact of graph partitioning on SNN placement for a multi-core neuromorphic architecture: work-in-progress.

Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva

Proceedings of the International Conference on Compilers, 2018

2017

A Convolutional Neural Network Fully Implemented on FPGA for Embedded Platforms.

Marco Bettoni, Gianvito Urgese, Yuki Kobayashi, Enrico Macii, Andrea Acquaviva

Proceedings of the New Generation of CAS, 2017

An Efficient MPI Implementation for Multi-Coreneuromorphic Platforms.

Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva

Proceedings of the New Generation of CAS, 2017

2016

Computational Methods for Bioinformatics Analysis and Neuromorphic Computing.

Gianvito Urgese

PhD thesis, 2016

isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation.

Gianvito Urgese, Giulia Paciello, Andrea Acquaviva, Elisa Ficarra

BMC Bioinform., 2016

Data and Commands Communication Protocol for Neuromorphic Platform Configuration.

Alessandro Siino, Francesco Barchi, Sergio Davies, Gianvito Urgese, Andrea Acquaviva

Proceedings of the 10th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2016

Toolchain integration of runtime variability and aging awareness in multicore platforms.

Ramakrishna Venkata Nittala, Francesco Barchi, Gianvito Urgese, Andrea Acquaviva

Proceedings of the 2016 Forum on Specification and Design Languages, 2016

2015

Protein Alignment Systolic Array Throughput Optimization.

Giovanni Causapruno, Gianvito Urgese, Marco Vacca, Mariagrazia Graziano, Maurizio Zamboni

IEEE Trans. Very Large Scale Integr. Syst., 2015

Top-Down Profiling of Application Specific Many-core Neuromorphic Platforms.

Gianvito Urgese, Francesco Barchi, Enrico Macii

Proceedings of the IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2015

2014

NanoMagnet Logic: An Architectural Level Overview.

Marco Vacca, Mariagrazia Graziano, Juanchi Wang, Fabrizio Cairo, Giovanni Causapruno, Gianvito Urgese, Andrea Biroli, Maurizio Zamboni

Proceedings of the Field-Coupled Nanocomputing - Paradigms, Progress, and Perspectives, 2014

miR-SEA: miRNA Seed Extension based Aligner Pipeline for NGS Expression Level Extraction.

Gianvito Urgese, Giulia Paciello, Claudio Isella, Enzo Medico, Enrico Macii, Elisa Ficarra, Andrea Acquaviva

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Dynamic Gap Selector: A Smith Waterman Sequence Alignment Algorithm with Affine Gap Model Optimization.

Gianvito Urgese, Giulia Paciello, Andrea Acquaviva, Elisa Ficarra, Mariagrazia Graziano, Maurizio Zamboni

Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

2012

Protein alignment HW/SW optimizations.

Gianvito Urgese, Mariagrazia Graziano, Marco Vacca, Muhammad Awais, Stefano Frache, Maurizio Zamboni

Proceedings of the 19th IEEE International Conference on Electronics, Circuits and Systems, 2012