1 code implementation • 16 Nov 2023 • Jannis Schönleber, Lukas Cavigelli, Renzo Andri, Matteo Perotti, Luca Benini
From classical HPC to deep learning, MatMul is at the heart of today's computing.
no code implementations • 26 Sep 2022 • Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang
The Winograd-enhanced DSA achieves up to 1. 85x gain in energy efficiency and up to 1. 83x end-to-end speed-up for state-of-the-art segmentation and detection networks.
no code implementations • 12 Jan 2021 • Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini
This BNN reaches a 77. 9% accuracy, just 7% lower than the full-precision version, with 58 kB (7. 2 times less) for the weights and 262 kB (2. 4 times less) memory in total.
no code implementations • 12 May 2020 • Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini
Furthermore, it can perform inference on a binarized ResNet-18 trained with 8-bases Group-Net to achieve a 67. 5% Top-1 accuracy with only 3. 0 mJ/frame -- at an accuracy drop of merely 1. 8% from the full-precision ResNet-18.
no code implementations • 27 Feb 2020 • Renzo Andri, Tomas Henriksson, Luca Benini
Radio Resource Management (RRM) in 5G mobile communication is a challenging problem for which Recurrent Neural Networks (RNN) have shown promising results.
no code implementations • 5 Mar 2018 • Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
Deploying state-of-the-art CNNs requires power-hungry processors and off-chip memory.
no code implementations • 5 Mar 2018 • Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
Deep neural networks have achieved impressive results in computer vision and machine learning.
no code implementations • 17 Jun 2016 • Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
Convolutional neural networks (CNNs) have revolutionized the world of computer vision over the last few years, pushing image classification beyond human accuracy.