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

التفاصيل البيبلوغرافية
العنوان: Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project
المؤلفون: Meloni P., Loi D., Deriu G., Pimentel A. D., Saprat D., Pintort M., Biggio B., Ripolles O., Solans D., Conti F., Benini L., Stefanov T., Minakova S., Moser B., Shepeleva N., Masin M., Palumbo F., Fragoulis N., Theodorakopoulos I.
المساهمون: Meloni, P., Loi, D., Deriu, G., Pimentel, A. D., Saprat, D., Pintort, M., Biggio, B., Ripolles, O., Solans, D., Conti, F., Benini, L., Stefanov, T., Minakova, S., Moser, B., Shepeleva, N., Masin, M., Palumbo, F., Fragoulis, N., Theodorakopoulos, I.
بيانات النشر: Institute of Electrical and Electronics Engineers Inc.
سنة النشر: 2019
الوصف: 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.
نوع الوثيقة: conference object
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/isbn/978-1-5386-8167-1; info:eu-repo/semantics/altIdentifier/wos/WOS:000469316700015; ispartofbook:Proceedings of the International Conference on Microelectronics, ICM; 30th International Conference on Microelectronics, ICM 2018; volume:2018-; firstpage:52; lastpage:55; numberofpages:4; info:eu-repo/grantAgreement/EC/H2020/780788; http://hdl.handle.net/11388/227267Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85065719864
DOI: 10.1109/ICM.2018.8704093
الإتاحة: https://doi.org/10.1109/ICM.2018.8704093Test
http://hdl.handle.net/11388/227267Test
رقم الانضمام: edsbas.3BA358C2
قاعدة البيانات: BASE