David Briand

According to our database, David Briand authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration.

Ivan Miro-Panades, Benoît Tain, Jean-Frédéric Christmann, David Coriat, Romain Lemaire, Clement Jany, Baudouin Martineau, Fabrice Chaix, Guillaume Waltener, Emmanuel Pluchart, Jean-Philippe Noel, Adam Makosiej, Maxime Montoya, Simone Bacles-Min, David Briand, Jean-Marc Philippe, Yvain Thonnart, Alexandre Valentian, Frédéric Heitzmann, Fabien Clermidy

IEEE J. Solid State Circuits, 2023

2022

Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization.

José Flich, Laura Medina, Izan Catalán, Carles Hernández, Andrea Bragagnolo, Fabrice Auzanneau, David Briand

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Disentangled Loss for Low-Bit Quantization-Aware Training.

Thibault Allenet, David Briand, Olivier Bichler, Olivier Sentieys

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

AdequateDL: Approximating Deep Learning Accelerators.

Olivier Sentieys, Silviu-Ioan Filip, David Briand, David Novo, Etienne Dupuis, Ian O'Connor, Alberto Bosio

Proceedings of the 24th International Symposium on Design and Diagnostics of Electronic Circuits & Systems, 2021

2020

SamurAI: A 1.7MOPS-36GOPS Adaptive Versatile IoT Node with 15, 000× Peak-to-Idle Power Reduction, 207ns Wake-Up Time and 1.3TOPS/W ML Efficiency.

Ivan Miro Panades, Benoît Tain, Jean-Frédéric Christmann, David Coriat, Romain Lemaire, Clement Jany, Baudouin Martineau, Fabrice Chaix, Anthony Quelen, Emmanuel Pluchart, Jean-Philippe Noel, Reda Boumchedda, Adam Makosiej, Maxime Montoya, Simone Bacles-Min, David Briand, Jean-Marc Philippe, Alexandre Valentian, Frédéric Heitzmann, Edith Beigné, Fabien Clermidy

Proceedings of the IEEE Symposium on VLSI Circuits, 2020

2018

Task management on fully heterogeneous micro-server system: Modeling and resolution strategies.

Lilia Zaourar, Massinissa Ait Aba, David Briand, Jean-Marc Philippe

Concurr. Comput. Pract. Exp., 2018

PNeuro: A scalable energy-efficient programmable hardware accelerator for neural networks.

Alexandre Carbon, Jean-Marc Philippe, Olivier Bichler, Renaud Schmit, Benoît Tain, David Briand, Nicolas Ventroux, Michel Paindavoine, Olivier Brousse

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Modeling of Applications and Hardware to Explore Task Mapping and Scheduling Strategies on a Heterogeneous Micro-Server System.

Lilia Zaourar, Massinissa Ait Aba, David Briand, Jean-Marc Philippe

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017