9 citations · 16 across the 6 of their papers we have counts for
5 papers · 1 filter
Approximations in Deep Learning
Etienne Dupuis, Silviu-Ioan Filip, Olivier Sentieys +3
The design and implementation of Deep Learning (DL) models is currently receiving a lot of attention from both industrials and academics. However, the computational workload associ…
Customizing Number Representation and Precision
Olivier Sentieys, Daniel Menard
There is a growing interest in the use of reduced-precision arithmetic, exacerbated by the recent interest in artificial intelligence, especially with deep learning. Most architect…
Characterizing a Neutron-Induced Fault Model for Deep Neural Networks
Fernando Fernandes dos Santos, Angeliki Kritikakou, Josie Esteban Rodriguez Condia +4
The reliability evaluation of Deep Neural Networks (DNNs) executed on Graphic Processing Units (GPUs) is a challenging problem since the hardware architecture is highly complex and…
Experimental evaluation of neutron-induced errors on a multicore RISC-V platform
Fernando Fernandes dos Santos, Angeliki Kritikakou, Olivier Sentieys
RISC-V architectures have gained importance in the last years due to their flexibility and open-source Instruction Set Architecture (ISA), allowing developers to efficiently adopt…
Freezer: A Specialized NVM Backup Controller for Intermittently-Powered Systems
Davide Pala, Ivan Miro-Panades, Olivier Sentieys
The explosion of IoT and wearable devices determined a rising attention towards energy harvesting as source for powering these systems. In this context, many applications cannot af…