2 papers
cs.AR2022
Exploiting Kernel Compression on BNNs
Franyell Silfa, Jose Maria Arnau, Antonio González
Binary Neural Networks (BNNs) are showing tremendous success on realistic image classification tasks. Notably, their accuracy is similar to the state-of-the-art accuracy obtained b…
cs.AR2021
A Survey of Near-Data Processing Architectures for Neural Networks
Mehdi Hassanpour, Marc Riera, Antonio González
Data-intensive workloads and applications, such as machine learning (ML), are fundamentally limited by traditional computing systems based on the von-Neumann architecture. As data…