Unlocking Efficiency in BNNs: Global by Local Thresholding for Analog-based HW Accelerators
For accelerating Binarized Neural Networks (BNNs), analog computing-based crossbar
accelerators, utilizing XNOR gates and additional interface circuits, have been proposed …
accelerators, utilizing XNOR gates and additional interface circuits, have been proposed …
Scalable and Energy-Efficient NN Acceleration with GPU-ReRAM Architecture
As AI techniques are increasingly adopted in various industry sectors, reducing energy
consumption in Neural Network applications has become a priority for researchers. One …
consumption in Neural Network applications has become a priority for researchers. One …
Closing the Capacity Gap: A Transforming Technique for ReRAM-Friendly NNs
RF de Moura, L Carro - International Conference on Embedded Computer …, 2023 - Springer
The widespread use of Artificial Intelligence (AI) applications has led to a huge increase in
the size of Neural Networks (NNs) and a corresponding need to reduce their energy …
the size of Neural Networks (NNs) and a corresponding need to reduce their energy …
Check for Closing the Capacity Gap: A Transforming Technique for ReRAM-Friendly NNs Rafael Fão de Moura) and Luigi Carro
RF de Moura - … Conference, SAMOS 2023, Samos, Greece, July 2 …, 2023 - books.google.com
The widespread use of Artificial Intelligence (AI) applications has led to a huge increase in
the size of Neural Networks (NNs) and a corresponding need to reduce their energy …
the size of Neural Networks (NNs) and a corresponding need to reduce their energy …