Francesco Barchi

Orcid: 0000-0001-5155-6883

According to our database1, Francesco Barchi authored at least 30 papers between 2015 and 2024.

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Bibliography

2024
Enhancing workplace safety: A flexible approach for personal protective equipment monitoring.
Expert Syst. Appl., March, 2024

Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips.
CoRR, 2024

TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust.
CoRR, 2024

AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks.
Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

2023
Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator.
Neurocomputing, December, 2023

A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures.
CoRR, 2023


On the Containerization and Orchestration of RISC-V architectures for Edge-Cloud computing.
Proceedings of the 3rd Eclipse Security, 2023

RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor (Invited Paper).
Proceedings of the 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2023

2022
Making the Most of Scarce Input Data in Deep Learning-Based Source Code Classification for Heterogeneous Device Mapping.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2022

Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

Meet Monte Cimone: exploring RISC-V high performance compute clusters.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications.
Proceedings of the Advances in Databases and Information Systems, 2022

2021
Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms.
IEEE Trans. Emerg. Top. Comput., 2021

Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring.
Future Internet, 2021

Exploration of Convolutional Neural Network models for source code classification.
Eng. Appl. Artif. Intell., 2021

Damage Detection in Structural Health Monitoring with Spiking Neural Networks.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021

Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2019
Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR.
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.
IEEE Trans. Emerg. Top. Comput., 2018

Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis.
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.
Proceedings of the IFIP/IEEE International Conference on Very Large Scale Integration, 2018

Multiple alignment of packet sequences for efficient communication in a many-core neuromorphic system: work-in-progress.
Proceedings of the International Conference on Compilers, 2018

Impact of graph partitioning on SNN placement for a multi-core neuromorphic architecture: work-in-progress.
Proceedings of the International Conference on Compilers, 2018

2017
An Efficient MPI Implementation for Multi-Coreneuromorphic Platforms.
Proceedings of the New Generation of CAS, 2017

2016
Data and Commands Communication Protocol for Neuromorphic Platform Configuration.
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.
Proceedings of the 2016 Forum on Specification and Design Languages, 2016

2015
Top-Down Profiling of Application Specific Many-core Neuromorphic Platforms.
Proceedings of the IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2015


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