Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems

Autor: Edgar Lemaire, Benoît Miramond, Sébastien Bilavarn, Hadi Saoud, Nassim Abderrahmane

Publikováno v: ACM Transactions on Embedded Computing Systems. 21:1-26

Spiking neural networks are expected to bring high resources, power, and energy efficiency to machine learning hardware implementations. In this regard, they could facilitate the integration of Artificial Intelligence in highly constrained embedded s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c58e912ff5a928436738dc28aa3025b6
https://doi.org/10.1145/3520133

An FPGA-based Hybrid Neural Network accelerator for embedded satellite image classification

Autor: Lionel Daniel, Philippe Millet, Sébastien Bilavarn, Matthieu Moretti, Frederic Feresin, Benoit Miramond, Edgar Lemaire

Publikováno v: IEEE International Symposium ofn Circuit and Systems (ISCAS 2020)
IEEE International Symposium ofn Circuit and Systems (ISCAS 2020), May 2020, Seville, Spain. pp.5
ISCAS
IEEE International Symposium ofn Circuit and Systems (ISCAS 2020), May 2020, Seville, Spain. pp.5, ⟨10.1109/ISCAS45731.2020.9180625⟩

International audience; Spiking Neural Networks are well known for their hardware-friendliness, as their implementation enables important hardware resources and energy savings when compared to classical Neural Network accelerators. Those advantages a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bf3a65022c806eb518437734eada282
https://hal.archives-ouvertes.fr/hal-02445183

Power Modeling and Exploration of Dynamic and Partially Reconfigurable Systems

Autor: Sébastien Bilavarn, Olivier Sentieys, Robin Bonamy, Daniel Chillet

Publikováno v: Journal of Low Power Electronics
Journal of Low Power Electronics, 2016, 12 (3), pp.172-185. ⟨10.1166/jolpe.2016.1448⟩
Journal of Low Power Electronics, American Scientific Publishers, 2016

International audience; Although fairly known for a long time, the vast potential of Dynamic and Partial Reconfigu-ration (DPR) for high energy efficiency is still difficult to exploit, for reasons that are more methodological than purely technical.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa7b79c05b0a19d4bf0aa3da16da167b
https://hal.science/hal-01345664/document

Exploitation of the EDF Scheduling in the Wireless Sensors Networks

Autor: Rym Cheour, Sébastien Bilavarn, Mohamed Abid

Publikováno v: International Journal of Measurement Technologies and Instrumentation Engineering. 1:14-27

Today, due to recent advances in wireless technology, new products using wireless sensor networks are being employed. However, despite the excitement surrounding wireless sensor networks, it is not immune to the problem of energy consumption. To over

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8fea4c2d3ff5b5e73409a665cf73aa3a
https://doi.org/10.4018/ijmtie.2011040102

An Energy-Aware Scheduler for Dynamically Reconfigurable Multi-Core Systems

Autor: Robin Bonamy, Sébastien Bilavarn, Fabrice Muller

Publikováno v: 6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip, ReCoSoC 2015
6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip, ReCoSoC 2015, Jun 2015, Bremen, Germany
ReCoSoC
6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip, ReCoSoC 2015, Jun 2015, Bremen, Germany. pp.1-6, ⟨10.1109/ReCoSoC.2015.7238084⟩

International audience; This paper describes an energy-aware scheduling approach intended for use in heterogeneous multiprocessors supporting hardware acceleration with Dynamic and Partial Re-configuration. Scheduler decisions rely on pragmatic power

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34acca13a63710211d4e4945274a0c60
https://hal.archives-ouvertes.fr/hal-01192796/file/article.pdf