
Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36th cycle (2020-2023)
Ph.D. obtained in 2024
Dissertation:
Efficient Deep Learning Inference: A Digital Hardware Perspective - Evaluating and improving performance and efficiency of artificial and spiking neural networks hardware accelerators (Abstract)
Tutors:
Luciano Lavagno Mario Roberto Casu
Research presentation:
PosterProfile
Research topic
Efficient hardware architectures for brain-inspired computing
Research interests
Biography
His main research activities focus on innovative digital architectures for the brain-inspired computing paradigm. In particular, he is interested in the Hyperdimensional Computing, Spiking Neural Networks, silicon retinas and neuromorphic computing. He is deeply involved with the open-source neuromorphic community, collaborating with researchers from all over the world and maintaining many open-source projects.
Teaching
Teachings
Master of Science
- Sistemi digitali integrati. A.A. 2021/22, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Sistemi digitali integrati. A.A. 2022/23, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Workshop "Innovative systems". A.A. 2020/21, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Electronic Systems for Sensor Acquisition. A.A. 2021/22, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
- Electronic Systems for Sensor Acquisition. A.A. 2022/23, MECHATRONIC ENGINEERING (INGEGNERIA MECCATRONICA). Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Ottati, Fabrizio (2024)
Efficient Deep Learning Inference: A Digital Hardware Perspective - Evaluating and improving performance and efficiency of artificial and spiking neural networks hardware accelerators. relatore: LAVAGNO, Luciano; CASU, MARIO ROBERTO; , 36. XXXVI Ciclo, P.: 72
Doctoral Thesis - Ottati, Fabrizio; Gao, Chang; Chen, Qinyu; Brignone, Giovanni; Casu, Mario Roberto; ... (2023)
To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration. In: IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, vol. 13, pp. 1015-1025. ISSN 2156-3365
Contributo su Rivista - Ottati, Fabrizio; Turvani, Giovanna; Masera, Guido; Vacca, Marco (2021)
Custom Memory Design for Logic-in-Memory: Drawbacks and Improvements over Conventional Memories. In: ELECTRONICS, vol. 10. ISSN 2079-9292
Contributo su Rivista