Alessio Carpegna

Master of Science

• Computer architectures and operating systems. A.A. 2024/25, CYBERSECURITY. Collaboratore del corso
• Operating systems for embedded systems. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Operating systems for embedded systems. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Operating systems. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Operating systems for embedded systems. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

• SMILIES - reSilient coMputer archItectures and LIfE Sciences (DAUIN)

• Marostica, F.; Carpegna, A.; Savino, A.; Di Carlo, S. (2025)
  Energy-Efficient Digital Design: A Comparative Study of Event-Driven and Clock-Driven Spiking Neurons. In: IEEE Computer Society Annual Symposium on VLSI - ISVLSI, Kalamata (GR), 06-09 July 2025, pp. 1-6. ISBN: 979-8-3315-3477-6
  Contributo in Atti di Convegno (Proceeding)
• Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2025)
  Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, vol. 13, pp. 784-798. ISSN 2168-6750
  Contributo su Rivista
• Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2024)
  Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks. In: 2024 IEEE International Conference on Design, Test and Technology of Integrated Systems (DTTIS), Aix-EN-PROVENCE, France, 14-16 October 2024, pp. 1-6. ISBN: 979-8-3503-6312-8
  Contributo in Atti di Convegno (Proceeding)
• Dequino, Alberto; Carpegna, Alessio; Nadalini, Davide; Savino, Alessandro; Benini, Luca; ... (2024)
  Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks. In: 2024 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Knoxville, TN (USA), 01-03 July 2024, pp. 240-245. ISBN: 979-8-3503-5411-9
  Contributo in Atti di Convegno (Proceeding)
• Carpegna, Alessio; De Luca, Chiara; Pozzi, Federico Emanuele; Savino, Alessandro; Di ... (2024)
  Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection. In: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS), Xi'an (CHN), 24-26 October 2024, pp. 1-5. ISBN: 979-8-3503-5495-9
  Contributo in Atti di Convegno (Proceeding)