activity
20202023
most citedRobust and accurate fine-grain power models for embedded systems with no on-chip PMU

10 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2023

The TeamPlay Project: Analysing and Optimising Time, Energy, and Security for Cyber-Physical Systems

Benjamin Rouxel, Christopher Brown, Emad Ebeid +14

Non-functional properties, such as energy, time, and security (ETS) are becoming increasingly important in Cyber-Physical Systems (CPS) programming. This article describes TeamPlay…

cs.SE2023★ 1 cited

EnergyAnalyzer: Using Static WCET Analysis Techniques to Estimate the Energy Consumption of Embedded Applications

Simon Wegener, Kris K. Nikov, Jose Nunez-Yanez +1

This paper presents EnergyAnalyzer, a code-level static analysis tool for estimating the energy consumption of embedded software based on statically predictable hardware events. Th…

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.DC2020

High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip

Kris Nikov, Mohammad Hosseinabady, Rafael Asenjo +3

This paper presents a methodology for simultaneous heterogeneous computing, named ENEAC, where a quad core ARM Cortex-A53 CPU works in tandem with a preprogrammed on-board FPGA acc…

cs.OH2020

Run-Time Power Modelling in Embedded GPUs with Dynamic Voltage and Frequency Scaling

Jose Nunez-Yanez, Kris Nikov, Kerstin Eder +1

This paper investigates the application of a robust CPU-based power modelling methodology that performs an automatic search of explanatory events derived from performance counters…