Abstract is missing.
- Exploring IoT platform with technologically agnostic processing-in-memory frameworkPaulo Cesar Santos, João Paulo C. de Lima, Rafael Fão de Moura, Hameeza Ahmed, Marco Antonio Zanata Alves, Antonio C. S. Beck, Luigi Carro. 1-6 [doi]
- A low-cost energy consumption measurement platformNadir Cherifi, Alexandre Boe, Thomas Vantroys, Colombe Herault, Gilles Grimaud. 7-12 [doi]
- HW/SW co-design and co-optimizations for deep learningAlberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique 0001. 13-18 [doi]
- ALOHA: an architectural-aware framework for deep learning at the edgePaolo Meloni, D. Loi, Gianfranco Deriu, Andy D. Pimentel, D. Sapra, B. Moser, N. Shepeleva, Francesco Conti 0001, Luca Benini, O. Ripolles, D. Solans, Maura Pintor, Battista Biggio, Todor Stefanov, S. Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, M. Masin, Francesca Palumbo. 19-26 [doi]
- Fog vs. cloud computing: should i stay or should i go?Flávia Pisani, Edson Borin. 27-32 [doi]
- Back to the future: resource management in post-cloud solutionsMichele Zanella, Giuseppe Massari, Andrea Galimberti, William Fornaciari. 33-38 [doi]
- Towards plug&play smart thermostats inspired by reinforcement learningCharalampos Marantos, Christos P. Lamprakos, Vasileios Tsoutsouras, Kostas Siozios, Dimitrios Soudris. 39-44 [doi]
- A compression-driven training framework for embedded deep neural networksMatteo Grimaldi, Federico Pugliese, Valerio Tenace, Andrea Calimera. 45-50 [doi]
- An unsupervised approach for automotive driver identificationNicholas Mainardi, Michele Zanella, Federico Reghenzani, Niccoló Raspa, Carlo Brandolese. 51-52 [doi]
- Blockchain-based edge computing for deep neural network applicationsJae Yun Kim, Soo-Mook Moon. 53-55 [doi]