4 citations · 12 across the 4 of their papers we have counts for
4 papers
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…
Flash-Cosmos: In-Flash Bulk Bitwise Operations Using Inherent Computation Capability of NAND Flash Memory
Jisung Park, Roknoddin Azizi, Geraldo F. Oliveira +6
Bulk bitwise operations, i.e., bitwise operations on large bit vectors, are prevalent in a wide range of important application domains, including databases, graph processing, genom…
Fast Exploration of Weight Sharing Opportunities for CNN Compression
Etienne Dupuis, David Novo, Ian O'Connor +1
The computational workload involved in Convolutional Neural Networks (CNNs) is typically out of reach for low-power embedded devices. There are a large number of approximation tech…
Exploration of Performance and Energy Trade-offs for Heterogeneous Multicore Architectures
Anastasiia Butko, Florent Bruguier, David Novo +2
Energy-efficiency has become a major challenge in modern computer systems. To address this challenge, candidate systems increasingly integrate heterogeneous cores in order to satis…