Machine Learning Acceleration for Tightly Energy-Constrained Devices
Renzo Andri · Repository for Publications and Research Data (ETH Zurich) · 2020
This thesis is the result of almost four and a half years of doctoral studies.First, I would like to express my sincere appreciation to my supervisor, Professor Luca Benini, who has given me the possibility to work in this exciting research field while being part of his inspiring and excellent team.His premium guidance and his own keen interest in the topic, paired with his love for details and constructive discussions have helped me to develop the needed research skills.Second, I want to thank the co-referee Professor Andrea Calimera, for his insightful and concise review.I also want to thank the main