10 citations · 17 across the 7 of their papers we have counts for
7 papers
The Impact of Feature Representation on the Accuracy of Photonic Neural Networks
Mauricio Gomes de Queiroz, Paul Jimenez, Raphael Cardoso +5
Photonic Neural Networks (PNNs) are gaining significant interest in the research community due to their potential for high parallelization, low latency, and energy efficiency. PNNs…
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators
Mahdi Taheri, Masoud Daneshtalab, Jaan Raik +5
Systolic array has emerged as a prominent architecture for Deep Neural Network (DNN) hardware accelerators, providing high-throughput and low-latency performance essential for depl…
High-Performance Data Mapping for BNNs on PCM-based Integrated Photonics
Taha Shahroodi, Raphael Cardoso, Stephan Wong +3
State-of-the-Art (SotA) hardware implementations of Deep Neural Networks (DNNs) incur high latencies and costs. Binary Neural Networks (BNNs) are potential alternative solutions to…
Special Session: Approximation and Fault Resiliency of DNN Accelerators
Mohammad Hasan Ahmadilivani, Mario Barbareschi, Salvatore Barone +9
Deep Learning, and in particular, Deep Neural Network (DNN) is nowadays widely used in many scenarios, including safety-critical applications such as autonomous driving. In this co…
Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies
Fabio Pavanello, Elena Ioana Vatajelu, Alberto Bosio +6
The field of neuromorphic computing has been rapidly evolving in recent years, with an increasing focus on hardware design and reliability. This special session paper provides an o…
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…
Hitless memory-reconfigurable photonic reservoir computing architecture
Mohab Abdalla, Clément Zrounba, Raphael Cardoso +7
Reservoir computing is an analog bio-inspired computation model for efficiently processing time-dependent signals, the photonic implementations of which promise a combination of ma…