Publications associées à Address generation unit

Mixed-Precision Deep Learning Based on Computational Memory

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Deep neural networks (DNNs) have revolutionized the field of artificial intelligence and have achieved unprecedented success in cognitive tasks such as image and speech recognition. Training of large DNNs, however, is computationally intensive and this has ...

FRONTIERS MEDIA SA2020

Mixed-precision architecture based on computational memory for training deep neural networks

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Deep neural networks (DNN) have revolutionized the field of machine learning by providing unprecedented human-like performance in solving many real-world problems such as image or speech recognition. Training of large DNNs, however, is a computationally in ...

IEEE2018

Microarchitectural Low-Power Design Techniques for Embedded Microprocessors

Jeremy Hugues-Felix Constantin

With the omnipresence of embedded processing in all forms of electronics today, there is a strong trend towards wireless, battery-powered, portable embedded systems which have to operate under stringent energy constraints. Consequently, low power consumpti ...

EPFL2016

Instruction Set Extensions for Cryptographic Hash Functions on a Microcontroller Architecture

Andreas Peter Burg, Jeremy Hugues-Felix Constantin

In this paper, we investigate the benefits of instruction set extensions (ISEs) on a 16-bit microcontroller architecture for software implementations of cryptographic hash functions, using the example of the five SHA-3 final round candidates. We identify t ...

Ieee2012