activity
20162023
most citedEnergy Transparency for Deeply Embedded Programs

28 citations · 58 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2023★ 7 cited

Accurate Energy Modelling on the Cortex-M0 Processor for Profiling and Static Analysis

Kris Nikov, Kyriakos Georgiou, Zbigniew Chamski +2

Energy modelling can enable energy-aware software development and assist the developer in meeting an application's energy budget. Although many energy models for embedded processor…

cs.DC2021★ 10 cited

Robust and accurate fine-grain power models for embedded systems with no on-chip PMU

Kris Nikov, Marcos Martinez, Simon Wegener +4

This paper presents a novel approach to event-based power modelling for embedded platforms that do not have a Performance Monitoring Unit (PMU). The method involves complementing t…

cs.SE2021★ 5 cited

A Comprehensive and Accurate Energy Model for Arm's Cortex-M0 Processor

Kyriakos Georgiou, Zbigniew Chamski, Kris Nikov +1

Energy modeling can enable energy-aware software development and assist the developer in meeting an application's energy budget. Although many energy models for embedded processors…

cs.PL2019★ 8 cited

Lost in translation: Exposing hidden compiler optimization opportunities

Kyriakos Georgiou, Zbigniew Chamski, Andres Amaya Garcia +2

Existing iterative compilation and machine-learning-based optimization techniques have been proven very successful in achieving better optimizations than the standard optimization…

cs.OH2016★ 28 cited

Energy Transparency for Deeply Embedded Programs

Kyriakos Georgiou, Steve Kerrison, Zbigniew Chamski +1

Energy transparency is a concept that makes a program's energy consumption visible, from hardware up to software, through the different system layers. Such transparency can enable…