Corso di laurea magistrale

• Operating systems for embedded systems. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Operating systems. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso

• SMILIES - reSilient coMputer archItectures and LIfE Sciences

• Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2022)
  Spiker: an FPGA-optimized Hardware accelerator for Spiking Neural Networks. In: 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Pafos, Cyprus, 04-06 July 2022, pp. 14-19
  Contributo in Atti di Convegno (Proceeding)
• Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2022)
  Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic. In: 23rd IEEE Latin-American Test Symposium (LATS 2022), Virtual Event, 05-08 September 2022, pp. 1-6
  Contributo in Atti di Convegno (Proceeding)
• Saeedi, Sepide; Carpegna, Alessio; Savino, Alessandro; Di Carlo, Stefano (2022)
  Spiking Neural Network Data Reduction via Interval Arithmetic. In: The 18th IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE 2022), Virtual Event, May 19 – May 20, 2022, pp. 1-6
  Contributo in Atti di Convegno (Proceeding)
• Carpegna, Alessio; Di Carlo, Stefano; Savino, Alessandro (2022)
  Artificial Resilience in neuromorphic systems. In: International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies (HEART) 2022, Tsukuba, Japan, June 9-10, 2022, pp. 1-3. ISBN: 978-1-4503-9660-8
  Contributo in Atti di Convegno (Proceeding)