Francesco Barchi
Orcid: 0000-0001-5155-6883
According to our database1,
Francesco Barchi
authored at least 52 papers
between 2015 and 2024.
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Online presence:
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Bibliography
2024
Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning.
Neural Comput. Appl., October, 2024
Enhancing workplace safety: A flexible approach for personal protective equipment monitoring.
Expert Syst. Appl., March, 2024
Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading.
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
OP-TEE powered OpenSSL Engine enhancing Digital Signature security for ARM Architectures.
Proceedings of the 20th International Conference on Synthesis, 2024
Proceedings of the 20th International Conference on Synthesis, 2024
TitanSSL: Towards Accelerating OpenSSL in a Full RISC-V Architecture Using OpenTitan Root-of-Trust.
Proceedings of the Computer Safety, Reliability, and Security, 2024
DeepCodeGraph: A Language Model for Compile-Time Resource Optimization Using Masked Graph Autoencoders.
Proceedings of the Natural Language Processing and Information Systems, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024
Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips.
Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle.
Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024
Towards the DT of an Educational Building: An AI-Based Distributed Measurement System for the Power Forecasting.
Proceedings of the 14th IEEE International Workshop on Applied Measurements for Power Systems, 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
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 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
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
IEEE Trans. Emerg. Top. Comput., 2021
Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring.
Future Internet, 2021
Eng. Appl. Artif. Intell., 2021
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
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
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
Proceedings of the New Generation of CAS, 2017
2016
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
Proceedings of the IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2015