Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project

Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Saprat, Maura Pintort, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


The use of Deep Learning (DL) algorithms is increasingly evolving in many application domains. Despite the rapid growing of algorithm size and complexity, performing DL inference at the edge is becoming a clear trend to cope with low latency, privacy and bandwidth constraints. Nevertheless, traditional implementation on low-energy computing nodes often requires experience-based manual intervention and trial-and-error iterations to get to a functional and effective solution. This work presents a computer-aided design (CAD) support for effective implementation of DL algorithms on embedded systems, aiming at automating different design steps and reducing cost. The proposed tool flow comprises capabilities to consider architecture-and hardware-related variables at very early stages of the development process, from pre-training hyperparameter optimization and algorithm configuration to deployment, and to adequately address security, power efficiency and adaptivity requirements. This paper also presents some preliminary results obtained by the first implementation of the optimization techniques supported by the tool flow.

Original languageEnglish
Title of host publicationProceeding of 2018 30th International Conference on Microelectronics, ICM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781538681671
Publication statusPublished - 2 Jul 2018
Externally publishedYes
Event30th International Conference on Microelectronics, ICM 2018 - Sousse, Tunisia
Duration: 16 Dec 201819 Dec 2018

Publication series

NameProceedings of the International Conference on Microelectronics, ICM


Conference30th International Conference on Microelectronics, ICM 2018


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