Alessio Carpegna

28 papers B 3C 1Misc 1Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Energy-Efficient Digital Design: A Comparative Study of Event-Driven and Clock-Driven Spiking Neurons.
ISVLSI
Filippo Marostica, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2025 J jnl
Energy-Efficient Digital Design: A Comparative Study of Event-Driven and Clock-Driven Spiking Neurons.
CoRR
Filippo Marostica, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2025 — conf
SFATTI: Spiking FPGA Accelerator For Temporal Task-Driven Inference - a Case Study on Mnist.
ICIPW
Alessio Caviglia, Filippo Marostica, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2025 J jnl
SFATTI: Spiking FPGA Accelerator for Temporal Task-driven Inference - A Case Study on MNIST.
CoRR
Alessio Caviglia, Filippo Marostica, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2025 J jnl
Spiker+: A Framework for the Generation of Efficient Spiking Neural Networks FPGA Accelerators for Inference at the Edge.
IEEE Trans. Emerg. Top. Comput.
Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2024 — conf
A Micro Architectural Events Aware Real-Time Embedded System Fault Injector.
LATS
Enrico Magliano, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2024 J jnl
A Micro Architectural Events Aware Real-Time Embedded System Fault Injector.
CoRR
Enrico Magliano, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2024 B conf
Approximate Fault-Tolerant Neural Network Systems.
ETS
Marcello Traiola, Salvatore Pappalardo, Ali Piri, Annachiara Ruospo, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio, Sepide Saeedi, Alessio Carpegna, Anil Bayram Gogebakan, Enrico Magliano, Alessandro Savino
2024 — conf
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks.
ISVLSI
Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti
2024 J jnl
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks.
CoRR
Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti
2024 — conf
Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks.
DTTIS
Sepide Saeedi, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2024 — conf
Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection.
BioCAS
Alessio Carpegna, Chiara De Luca, Federico Emanuele Pozzi, Alessandro Savino, Stefano Di Carlo, Giacomo Indiveri, Elisa Donati
2024 J jnl
Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection.
CoRR
Alessio Carpegna, Chiara De Luca, Federico Emanuele Pozzi, Alessandro Savino, Stefano Di Carlo, Giacomo Indiveri, Elisa Donati
2024 J jnl
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA.
CoRR
Dario Padovano, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2024 J jnl
Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge.
CoRR
Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2024 C conf
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks.
IOLTS
Anil Bayram Gögebakan, Enrico Magliano, Alessio Carpegna, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo
2024 J jnl
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks.
CoRR
Anil Bayram Gogebakan, Enrico Magliano, Alessio Carpegna, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo
2023 B conf
EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.
ETS
Fabio Pavanello, Cédric Marchand, Ian O'Connor, Régis Orobtchouk, Fabien Mandorlo, Xavier Letartre, Sébastien Cueff, Elena-Ioana Vatajelu, Giorgio Di Natale, Benoit Cluzel, Aurelien Coillet, Benoît Charbonnier, Pierre Noe, Frantisek Kavan, Martin Zoldak, Michal Szaj, Peter Bienstman, Thomas Van Vaerenbergh, Ulrich Rührmair, Paulo F. Flores, Luís Guerra e Silva, Ricardo Chaves, Luís Miguel Silveira, Mariano Ceccato, Dimitris Gizopoulos, George Papadimitriou, Vasileios Karakostas, Axel Brando, Francisco J. Cazorla, Ramon Canal, Pau Closas, Adria Gusi-Amigo, Paolo Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino
2023 B conf
Micro-Architectural features as soft-error markers in embedded safety-critical systems: preliminary study.
ETS
Deniz Kasap, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2023 J jnl
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS.
CoRR
Fabio Pavanello, Cédric Marchand, Ian O'Connor, Régis Orobtchouk, Fabien Mandorlo, Xavier Letartre, Sébastien Cueff, Elena-Ioana Vatajelu, Giorgio Di Natale, Benoit Cluzel, Aurelien Coillet, Benoît Charbonnier, Pierre Noe, Frantisek Kavan, Martin Zoldak, Michal Szaj, Peter Bienstman, Thomas Van Vaerenbergh, Ulrich Rührmair, Paulo F. Flores, Luís Guerra e Silva, Ricardo Chaves, Luís Miguel Silveira, Mariano Ceccato, Dimitris Gizopoulos, George Papadimitriou, Vasileios Karakostas, Axel Brando, Francisco J. Cazorla, Ramon Canal, Pau Closas, Adria Gusi-Amigo, Paolo Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino
2023 Misc conf
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies.
VTS
Fabio Pavanello, Elena-Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino
2023 J jnl
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies.
CoRR
Fabio Pavanello, Elena-Ioana Vatajelu, Alberto Bosio, Thomas Van Vaerenbergh, Peter Bienstman, Benoît Charbonnier, Alessio Carpegna, Stefano Di Carlo, Alessandro Savino
2022 J jnl
Are micro-architectural features able to explain faulty executions in the presence of soft errors? A preliminary study.
CoRR
Deniz Kasap, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2022 — conf
Artificial Resilience in neuromorphic systems.
HEART
Alessio Carpegna, Stefano Di Carlo, Alessandro Savino
2022 J jnl
FPGA-optimized Hardware acceleration for Spiking Neural Networks.
CoRR
Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2022 J jnl
Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks.
CoRR
Sepide Saeedi, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2022 — conf
Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic.
LATS
Sepide Saeedi, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
2022 — conf
Spiker: an FPGA-optimized Hardware accelerator for Spiking Neural Networks.
ISVLSI
Alessio Carpegna, Alessandro Savino, Stefano Di Carlo