no code implementations • 14 Oct 2022 • Manuele Rusci, Marco Fariselli, Martin Croome, Francesco Paci, Eric Flamand
Differently from a uniform 8-bit quantization that degrades the PESQ score by 0. 3 on average, the Mixed-Precision PTQ scheme leads to a low-degradation of only 0. 06, while achieving a 1. 4-1. 7x memory saving.
no code implementations • 18 Oct 2021 • Davide Rossi, Francesco Conti, Manuel Eggimann, Alfio Di Mauro, Giuseppe Tagliavini, Stefan Mach, Marco Guermandi, Antonio Pullini, Igor Loi, Jie Chen, Eric Flamand, Luca Benini
Vega achieves SoA-leading efficiency of 615 GOPS/W on 8-bit INT computation (boosted to 1. 3TOPS/W for 8-bit DNN inference with hardware acceleration).
3 code implementations • 4 May 2018 • Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini
As part of our general methodology we discuss the software mapping techniques that enable the state-of-the-art deep convolutional neural network presented in [1] to be fully executed on-board within a strict 6 fps real-time constraint with no compromise in terms of flight results, while all processing is done with only 64 mW on average.