Fabrizio Ottati

Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36^o ciclo (2020-2023)

Dottorato concluso nel 2024

Efficient hardware architectures for brain-inspired computing

Big Data, Machine Learning, Neural Networks and Data Science

Micro- and nanotechnologies, devices, systems and applications

VLSI theory, design and applications

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

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