Archivio Istituzionale della RicercaCARPEGNA, ALESSIO
CARPEGNA, ALESSIO
Dipartimento di Automatica e Informatica
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Risultati 1 - 14 di 14 (tempo di esecuzione: 0.021 secondi).
A Micro Architectural Events Aware Real-Time Embedded System Fault Injector
2024 Magliano, Enrico; Carpegna, Alessio; Savino, Alessandro; DI CARLO, Stefano
Approximate Fault-Tolerant Neural Network Systems
2024 Traiola, Marcello; Pappalardo, Salvatore; Piri, Ali; Ruospo, Annachiara; Deveautour, Bastien; Sanchez, Ernesto; Bosio, Alberto; Saeedi, Sepide; Carpegna, Alessio; Göğebakan, Anıl Bayram; Magliano, Enrico; Savino, Alessandro
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
2024 Dequino, Alberto; Carpegna, Alessio; Nadalini, Davide; Savino, Alessandro; Benini, Luca; Di Carlo, Stefano; Conti, Francesco
Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks
2024 Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; DI CARLO, Stefano
SpikeExplorer: Hardware-Oriented Design Space Exploration for Spiking Neural Networks on FPGA
2024 Padovano, Dario; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano
Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge
2024 Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks
2024 Göğebakan, Anıl Bayram; Magliano, Enrico; Carpegna, Alessio; Ruospo, Annachiara; Savino, Alessandro; Carlo, Stefano Di
Micro-Architectural features as soft-error markers in embedded safety-critical systems: preliminary study
2023 Kasap, Deniz; Carpegna, Alessio; Savino, Alessandro; DI CARLO, Stefano
NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS
2023 Pavanello, F; Marchand, C; O'Connor, I; Orobtchouk, R; Mandorlo, F; Letartre, X; Cueff, S; Vatajelu, Ei; Di Natale, G; Cluzel, B; Coillet, A; Charbonnier, B; Noc, P; Kavan, F; Zoldak, M; Szaj, M; Bienstman, P; Van Vaerenbergh, T; Ruhrmair, U; Flores, P; Silva, Lge; Chaves, R; Silveira, Lm; Ceccatom, M; Gizopoulos, D; Papadimitrioull, G; Karakostas, V; Brando, A; Cazorla, Fj; Canal, R; Closas, P; Gusi-Amigo, A; Crovetti, P; Carpegna, A; Carmona, Tm; Di Carlo, S; Savino, A
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies
2023 Pavanello, Fabio; Ioana Vatajelu, Elena; Bosio, Alberto; Van Vaerenbergh, Thomas; Bienstman, Peter; Charbonnier, Benoit; Carpegna, Alessio; DI CARLO, Stefano; Savino, Alessandro
Artificial Resilience in neuromorphic systems
2022 Carpegna, Alessio; Di Carlo, Stefano; Savino, Alessandro
Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic
2022 Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano
Spiker: an FPGA-optimized Hardware accelerator for Spiking Neural Networks
2022 Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano
Spiking Neural Network Data Reduction via Interval Arithmetic
2022 Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Micro Architectural Events Aware Real-Time Embedded System Fault Injector / Magliano, Enrico; Carpegna, Alessio; Savino, Alessandro; DI CARLO, Stefano. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno 2024 IEEE 25th Latin American Test Symposium (LATS) tenutosi a Maceio (BRA) nel 09-12 April 2024) [10.1109/LATS62223.2024.10534595]. | 1-gen-2024 | Enrico MaglianoAlessio CarpegnaAlessandro SavinoStefano Di Carlo | A_Micro_Architectural_Events_Aware_Real-Time_Embedded_System_Fault_Injector.pdf; Lats_camera_ready_no_copy.pdf |
| Approximate Fault-Tolerant Neural Network Systems / Traiola, Marcello; Pappalardo, Salvatore; Piri, Ali; Ruospo, Annachiara; Deveautour, Bastien; Sanchez, Ernesto; Bosio, Alberto; Saeedi, Sepide; Carpegna, Alessio; Göğebakan, Anıl Bayram; Magliano, Enrico; Savino, Alessandro. - ELETTRONICO. - (2024), pp. 1-10. (Intervento presentato al convegno IEEE European Test Symposium (ETS) 2024 tenutosi a Der Haag (NL) nel 20-24 May 2024) [10.1109/ets61313.2024.10567290]. | 1-gen-2024 | Ruospo, AnnachiaraSanchez, ErnestoSaeedi, SepideCarpegna, AlessioMagliano, EnricoSavino, Alessandro + | Paper___ETS24___Embedded_Tutorial.pdf; Approximate_Fault-Tolerant_Neural_Network_Systems.pdf |
| Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks / Dequino, Alberto; Carpegna, Alessio; Nadalini, Davide; Savino, Alessandro; Benini, Luca; Di Carlo, Stefano; Conti, Francesco. - ELETTRONICO. - 1:(2024), pp. 240-245. (Intervento presentato al convegno 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) tenutosi a Knoxville, TN (USA) nel 01-03 July 2024) [10.1109/isvlsi61997.2024.00052]. | 1-gen-2024 | Dequino, AlbertoCarpegna, AlessioNadalini, DavideSavino, AlessandroDi Carlo, Stefano + | Compressed_Latent_Replays_for_Lightweight_Continual_Learning_on_Spiking_Neural_Networks.pdf; Continual_Spiking_Prosciutti_Revival__ISVLSI_.pdf |
| Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks / Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; DI CARLO, Stefano. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno 2024 IEEE International Conference on Design, Test and Technology of Integrated Systems (DTTIS) tenutosi a Aix-EN-PROVENCE, France nel 14-16 October 2024) [10.1109/DTTIS62212.2024.10780090]. | 1-gen-2024 | Sepide SaeediAlessio CarpegnaAlessandro SavinoStefano Di Carlo | Fast_Exploration_of_the_Impact_of_Precision_Reduction_on_Spiking_Neural_Networks.pdf; Paper___DTTIS24___IA_NN_Model.pdf |
| SpikeExplorer: Hardware-Oriented Design Space Exploration for Spiking Neural Networks on FPGA / Padovano, Dario; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 13:9(2024), pp. 1-21. [10.3390/electronics13091744] | 1-gen-2024 | Carpegna, AlessioSavino, AlessandroDi Carlo, Stefano + | electronics-13-01744.pdf |
| Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge / Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano. - In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING. - ISSN 2168-6750. - ELETTRONICO. - (2024), pp. 1-15. [10.1109/tetc.2024.3511676] | 1-gen-2024 | Carpegna, AlessioSavino, AlessandroDi Carlo, Stefano | Spiker_a_framework_for_the_generation_of_efficient_Spiking_Neural_Networks_FPGA_accelerators_for_inference_at_the_edge.pdf |
| SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks / Göğebakan, Anıl Bayram; Magliano, Enrico; Carpegna, Alessio; Ruospo, Annachiara; Savino, Alessandro; Carlo, Stefano Di. - ELETTRONICO. - (2024), pp. 1-7. (Intervento presentato al convegno 2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS) tenutosi a Rennes (FRA) nel 03-05 July 2024) [10.1109/iolts60994.2024.10616060]. | 1-gen-2024 | Magliano, EnricoCarpegna, AlessioRuospo, AnnachiaraSavino, AlessandroCarlo, Stefano Di + | SpikingJET_Enhancing_Fault_Injection_for_Fully_and_Convolutional_Spiking_Neural_Networks.pdf; Paper_IOLTS_2024___AI_THREATS_WS___SpikingJET.pdf |
| Micro-Architectural features as soft-error markers in embedded safety-critical systems: preliminary study / Kasap, Deniz; Carpegna, Alessio; Savino, Alessandro; DI CARLO, Stefano. - ELETTRONICO. - (2023), pp. 1-5. (Intervento presentato al convegno 2023 IEEE European Test Symposium (ETS) tenutosi a Venezia (ITA) nel 22-26 May 2023) [10.1109/ets56758.2023.10174219]. | 1-gen-2023 | Alessio CarpegnaAlessandro SavinoStefano Di Carlo + | Micro-Architectural_features_as_soft-error_markers_in_embedded_safety-critical_systems_preliminary_study (1).pdf; ETS23-Microarch.pdf |
| NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS / Pavanello, F; Marchand, C; O'Connor, I; Orobtchouk, R; Mandorlo, F; Letartre, X; Cueff, S; Vatajelu, Ei; Di Natale, G; Cluzel, B; Coillet, A; Charbonnier, B; Noc, P; Kavan, F; Zoldak, M; Szaj, M; Bienstman, P; Van Vaerenbergh, T; Ruhrmair, U; Flores, P; Silva, Lge; Chaves, R; Silveira, Lm; Ceccatom, M; Gizopoulos, D; Papadimitrioull, G; Karakostas, V; Brando, A; Cazorla, Fj; Canal, R; Closas, P; Gusi-Amigo, A; Crovetti, P; Carpegna, A; Carmona, Tm; Di Carlo, S; Savino, A. - ELETTRONICO. - (2023), pp. 1-6. (Intervento presentato al convegno 2023 IEEE European Test Symposium (ETS) tenutosi a Venezia (ITA) nel 22-26 May 2023) [10.1109/ETS56758.2023.10173974]. | 1-gen-2023 | Crovetti, PCarpegna, ADi Carlo, SSavino, A + | NEUROPULS_NEUROmorphic_energy-efficient_secure_accelerators_based_on_Phase_change_materials_aUgmented_siLicon_photonicS.pdf; ETC23-Neuropuls.pdf |
| Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies / Pavanello, Fabio; Ioana Vatajelu, Elena; Bosio, Alberto; Van Vaerenbergh, Thomas; Bienstman, Peter; Charbonnier, Benoit; Carpegna, Alessio; DI CARLO, Stefano; Savino, Alessandro. - ELETTRONICO. - (2023), pp. 1-10. (Intervento presentato al convegno 41st IEEE VLSI Test Symposium tenutosi a San Diego CA (USA) nel 24-26 April 2023) [10.1109/vts56346.2023.10139932]. | 1-gen-2023 | Alessio CarpegnaStefano Di CarloAlessandro Savino + | Special_Session_Neuromorphic_hardware_design_and_reliability_from_traditional_CMOS_to_emerging_technologies.pdf; VTS23-Neuropuls.pdf |
| Artificial Resilience in neuromorphic systems / Carpegna, Alessio; Di Carlo, Stefano; Savino, Alessandro. - ELETTRONICO. - (2022), pp. 112-114. (Intervento presentato al convegno International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies (HEART) 2022 tenutosi a Tsukuba (JPN) nel June 9-10, 2022) [10.1145/3535044.3535062]. | 1-gen-2022 | Carpegna, AlessioDi Carlo, StefanoSavino, Alessandro | phDworkInProgress.pdf; 3535044.3535062.pdf |
| Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic / Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno 23rd IEEE Latin-American Test Symposium (LATS 2022) tenutosi a Virtual Event nel 05-08 September 2022) [10.1109/LATS57337.2022.9936999]. | 1-gen-2022 | Saeedi, SepideCarpegna, AlessioSavino, AlessandroDi Carlo, Stefano | Paper___LATS22___IA_NN_Model.pdf; Prediction_of_the_Impact_of_Approximate_Computing_on_Spiking_Neural_Networks_via_Interval_Arithmetic.pdf |
| Spiker: an FPGA-optimized Hardware accelerator for Spiking Neural Networks / Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano. - ELETTRONICO. - (2022), pp. 14-19. (Intervento presentato al convegno 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) tenutosi a Pafos, Cyprus nel 04-06 July 2022) [10.1109/ISVLSI54635.2022.00016]. | 1-gen-2022 | Carpegna, AlessioSavino, AlessandroDi Carlo, Stefano | main.pdf; Spiker_an_FPGA-optimized_Hardware_accelerator_for_Spiking_Neural_Networks.pdf |
| Spiking Neural Network Data Reduction via Interval Arithmetic / Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno The 18th IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE 2022) tenutosi a Virtual Event nel May 19 – May 20, 2022) [10.5281/zenodo.6581443]. | 1-gen-2022 | Saeedi, SepideCarpegna, AlessioSavino, AlessandroDi Carlo, Stefano | Spiking Neural Network Data Reduction via Interval Arithmetic.pdf |