NEUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS

05/04/2023
by   Fabio Pavanello, et al.
0

This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic accelerators using augmented silicon photonics technology. Our approach aims to develop an augmented silicon photonics platform, an FPGA-powered RISC-V-connected computing platform, and a complete simulation platform to demonstrate the neuromorphic accelerator capabilities. In particular, their main advantages and limitations will be addressed concerning the underpinning technology for each platform. Then, we will discuss three targeted use cases for edge-computing applications: Global National Satellite System (GNSS) anti-jamming, autonomous driving, and anomaly detection in edge devices. Finally, we will address the reliability and security aspects of the stand-alone accelerator implementation and the project use cases.

READ FULL TEXT

page 2

page 3

research
05/09/2023

VEDLIoT – Next generation accelerated AIoT systems and applications

The VEDLIoT project aims to develop energy-efficient Deep Learning metho...
research
04/04/2022

Quantum materials for energy-efficient neuromorphic computing

Neuromorphic computing approaches become increasingly important as we ad...
research
04/28/2021

Neuromorphic Computing is Turing-Complete

Neuromorphic computing is a non-von Neumann computing paradigm that perf...
research
10/10/2022

Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware

As the technology industry is moving towards implementing tasks such as ...
research
07/01/2022

VEDLIoT: Very Efficient Deep Learning in IoT

The VEDLIoT project targets the development of energy-efficient Deep Lea...
research
02/23/2018

PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures

Enabling full robotic workloads with diverse behaviors on mobile systems...

Please sign up or login with your details

Forgot password? Click here to reset