Gianvito Urgese

发表

An Efficient MPI Implementation for Multi-Coreneuromorphic Platforms

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2017, 2017 New Generation of CAS (NGCAS).

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

Andrea Acquaviva, Elisa Ficarra, Gianvito Urgese, 2016, BMC Bioinformatics.

A Parallel Hardware Architecture For Quantum Annealing Algorithm Acceleration

Yuki Kobayashi, Enrico Macii, Andrea Acquaviva, 2018, 2018 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC).

Protein alignment HW/SW optimizations

Mariagrazia Graziano, Muhammad Awais, Maurizio Zamboni, 2012, 2012 19th IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2012).

NanoMagnet Logic: An Architectural Level Overview

Mariagrazia Graziano, Maurizio Zamboni, Giovanni Causapruno, 2014, Field-Coupled Nanocomputing.

Protein Alignment Systolic Array Throughput Optimization

Mariagrazia Graziano, Maurizio Zamboni, Giovanni Causapruno, 2015, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

The SeqAn C++ template library for efficient sequence analysis: A resource for programmers.

Knut Reinert, Gianvito Urgese, René Rahn, 2017, Journal of biotechnology.

Dynamic Gap Selector: a Smith Waterman Sequence Alignment Algorithm with Affine Gap Model Optimisation Dynamic Gap Selector: a Smith Waterman Affine Gap Model Optimisation

Mariagrazia Graziano, Maurizio Zamboni, Andrea Acquaviva, 2022 .

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

Elisa Ficarra, Gianvito Urgese, Santa Di Cataldo, 2020, Bioinform..

Toolchain integration of runtime variability and aging awareness in multicore platforms

Andrea Acquaviva, Francesco Barchi, Gianvito Urgese, 2016, 2016 Forum on Specification and Design Languages (FDL).

Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2019 .

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

Karen Eilbeck, Xavier Bofill-De Ros, Elisa Ficarra, 2020, Bioinform..

A Convolutional Neural Network Fully Implemented on FPGA for Embedded Platforms

Yuki Kobayashi, Enrico Macii, Andrea Acquaviva, 2017, 2017 New Generation of CAS (NGCAS).

Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology

Elisa Ficarra, Gianvito Urgese, Francesco Ponzio, 2019, Electronics.

miRTOP: An open source community project for the development of a unified format file for miRNA data

Karen Eilbeck, Elisa Ficarra, Gianvito Urgese, 2018 .

Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2019, IEEE Transactions on Emerging Topics in Computing.

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

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2018, CASES.

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

Enrico Macii, Andrea Acquaviva, Elisa Ficarra, 2014, IWBBIO.

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

Karen Eilbeck, Elisa Ficarra, Gianvito Urgese, 2018, bioRxiv.

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

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).

Work-in-Progress: Impact of Graph Partitioning on SNN Placement for a Multi-Core Neuromorphic Architecture

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2018, 2018 International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES).

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

Naehyuck Chang, Enrico Macii, Massimo Poncino, 2019, IEEE Transactions on Vehicular Technology.

Top-down profiling methodology and new Partition and Placement tool to improve Spiking Neural Network simulations on a massively many-core neuromorphic platform

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2015 .

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

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2018, IEEE Transactions on Emerging Topics in Computing.

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

Enrico Macii, Francesco Barchi, Gianvito Urgese, 2015, 2015 IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip.

A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans

Enrico Macii, Elisa Ficarra, Gianvito Urgese, 2019, International journal of molecular sciences.

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

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2018, VLSI-SoC.

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

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2018, 2018 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC).

Computational Methods for Bioinformatics Analysis and Neuromorphic Computing

Gianvito Urgese, 2016 .

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

Elisa Ficarra, Gianvito Urgese, Santa Di Cataldo, 2020, Bioinform..

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

Enrico Macii, Jerker Delsing, Gianvito Urgese, 2020, NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium.

Exploration of Convolutional Neural Network models for source code classification

Andrea Acquaviva, Elisa Ficarra, Francesco Barchi, 2021, Eng. Appl. Artif. Intell..

Work-in-Progress: Multiple Alignment of Packet Sequences for Efficient Communication in a Many-Core Neuromorphic System

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2018, 2018 International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES).

Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks

Enrico Macii, Elisa Ficarra, Gianvito Urgese, 2018, CIBB.

Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions

Elisa Ficarra, Gianvito Urgese, Ilaria Roberti, 2019, International journal of molecular sciences.

Data and Commands Communication Protocol for Neuromorphic Platform Configuration

Andrea Acquaviva, Francesco Barchi, Gianvito Urgese, 2016, 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC).

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

Enrico Macii, Andrea Acquaviva, Francesco Barchi, 2018, CASES.

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

Enrico Macii, Alberto Macii, Sara Vinco, 2021, Proceedings of the IEEE.

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

Pál Varga, Gianvito Urgese, Géza Kulcsár, 2021, 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM).

PageRank Implemented with the MPI Paradigm Running on a Many-Core Neuromorphic Platform

Enrico Macii, Gianvito Urgese, Evelina Forno, 2021 .

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

Elisa Ficarra, Gianvito Urgese, Andrea Bertotti, 2021, BMC Bioinformatics.