Drastic energy reduction for IoT devices Energy issues are central to the ICT industry, and especially to the evolution of the Internet of Things (IoT). Current low-power design techniques cannot support the estimated growth in number IoT objects and in the same time keep the ICT energy consumption within sustainable bounds. This project aims to build on the preliminary results on inexact and exact near-threshold and sub-threshold circuit design to achieve major energy consumption reductions by enabling adaptive accuracy control of applications.
Exploitation of approximate computing in ARTEFaCT project ARTEFaCT proposes to address, in a consistent fashion, the entire design stack, from physical hardware design, up to software application analysis, compiler optimizations, and dynamic energy management. We do believe that combining sub-near-threshold with inexact circuits on the hardware side and, in addition, extending this with intelligent and adaptive power management on the software side will produce outstanding results in terms of energy reduction, i.e., at least one order of magnitude, in IoT.
Project contributions The project will contribute along three research directions:
approximate, ultra low-power circuit design,
modeling and analysis of variable levels of computation precision in applications
accuracy-energy trade-offs in software.
AppRoximaTivE Flexible Circuits and Computing for IoT