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Research Team

Prof Geoff Merrett

Centre Co-Director and Professor

Geoff Merrett is a Professor of Electronic and Software Systems at the University of Southampton. He is Head of the Centre for Internet of Things (IoT) and Pervasive Systems, a strategic research centre in the School of Electronics and Computer Science, and is based in its Cyber Physical Systems Research Group. His research interests are in energy management of mobile/embedded systems and self-powered devices. He is a Senior Member of the IEEE, a Member of IET, and a Fellow of the HEA.

 
 
 

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Outstanding Arm-ECS graduate claims Young Engineer of the Year accolade

18th August 2021

Former University of Southampton postgraduate research student Ben Fletcher has been named as a winner of the Royal Academy of Engineering (RAEng) Engineers Trust Young Engineer of the Year competition. The electronic engineer is recognised for outstanding success in his early career, having advanced novel approaches for cost-effective three-dimensional integrated…

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Geoff Merrett appointed as Arm-ECS Co-Director

17th June 2020

Earlier this year, Professor Bashir Al-Hashimi took up a new role as Executive Dean of the Faculty of Natural & Mathematical Sciences at Kings College London, having been at Southampton for over two decades. As a result of this, he also stood down as Co-Director of the Arm-ECS Research Centre,…

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Full system simulation tool released for intermittent computing systems

27th March 2020

We have recently released Fused, a tool developed by Arm-ECS PhD researcher Sivert Sliper for full system simulation of energy-driven and intermittent computing systems. Fused is a full-system simulator for modelling energy-driven computers. To accurately model the interplay between energy-availability, power consumption, and execution; Fused models energy and execution in…

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Intermittent computing research featured in Nature Physics

6th March 2020

Arm-ECS research into energy-driven and intermittently powered computing systems has been featured in a Nature Physics article by Mark Buchanan discussing on biologically inspired computing. In particular, it focuses on our recent article on Energy Driven Computing in the Philosophical Transactions of the Royal Society, led by Arm-ECS researcher Sivert…

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Arm-ECS Researchers Key to Developing Embedded ML through New International Centre

4th June 2019

Researchers from the Arm-ECS Research Centre will be at the forefront of developing pioneering approaches to embed machine learning in electronic devices as part of a new £1.2M International Centre funded by the EPSRC. The Centre for Spatial Computational Learning is led by Imperial College and involves collaborators from Southampton,…

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Arm-ECS at the Arm Research Summit 2018

20th September 2018

The Arm-ECS Research Centre had a strong presence at the Arm Research Summit 2018. A total of 9 staff and students from ECS/Southampton attended the 3-day event at Robinson College, Cambridge. Dr Geoff Merrett gave a presentation in the main hall on the runtime management approaches that have been developed…

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Transient Computing Research Demoed at Arm Research Summit 2018

20th September 2018

Researchers from the Arm-ECS Research Centre demonstrated their research on Transient Computing Systems at the Arm Research Summit 2018 A number of Transient, or Intermittent, Computing demos were given at the stand, from simple demonstrators of the core technology, through to application examples including a self-powered cycle computer powered from…

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Centre Researchers to Present at Arm Summit 2018

13th July 2018

Researchers from the Arm-ECS Centre have been accepted to present their work at the Arm Research Summit 2018. Dr Geoff Merrett will be giving a talk titled “Run-time Power and Energy Management of Many-Core Systems” (abstract below). Abstract: Energy-efficiency is important at all scales of computing system, from microcontrollers through…

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International Symposium on Many-Core Computing a Success

18th January 2018

The International Symposium on Many-Core Computing: Hardware and Software took place in Southampton UK on Wednesday 17th and Thursday 18th January 2018. Attendance was by invitation only, and featured invited presentations and panels from international researchers and designers working on the theory and practice of many-core computing, from both academia…

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Arm-ECS Researchers Present at Arm Summit 2017

11th September 2017

Researchers from the Arm-ECS Centre presentated their work at the Arm Research Summit 2017. Dr Geoff Merrett gave two presentations at the event, one on power-neutral computing for IoT devices, and another on CPU power estimation using PMCs. Videos of the two talks can be found below. Three posters were…

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ARM-ECS Research Nominated for Best Paper Award

17th August 2017

ARM-ECS PhD Student Ilias Vougioukas has had his paper titled “Nucleus: finding the sharing limit of heterogeneous cores” nominated for a Best Paper award at the CODES-ISSS conference in ESWEEK 2017. Ilias will present the research in Seoul, Korea on Tuesday October 17th, and the judges’ decision will be announced…

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Team Awarded £1.4M EPSRC Platform Grant

1st June 2017

A team of researchers from the ARM-ECS Research Centre have been awarded £1.4M of EPSRC funding for research under the project “Wearable and Autonomous Computing for Future Smart Cities: A Platform Grant”. The focus of this Platform Grant is the combination of wearable systems networked with smart city and building management systems,…

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Continuing Success for ARM-ECS Research Centre

21st March 2017

The ARM-ECS Research Centre was founded in 2008, and is a collaboration between researchers in the Department of Electronics and Computer Science at the University of Southampton, and ARM Research, Cambridge. On the back of winning the NMI University Research Group of the Year award at the end of 2015,…

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CPU power modelling tool available to download

24th March 2016

Accurately estimating CPU power consumption is a key requirement for controlling CPUs – e.g. for implementing energy saving techniques – and for exploring the CPU design space. ARM-ECS researchers have developed a tool that uses models built and validated from real, measured data from an actual device. This means that the…

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Prestigious EPSRC Grant awarded on many-core embedded systems

1st February 2013

Professor Al-Hashimi has been awarded a prestigious 5-year EPSRC Programme grant (£5.7M) addressing some of the key major challenges in the design and implementation of energy-efficient and reliable embedded systems with many-core processors. The grant’s academic collaborators are Imperial College London, University of Manchester and Newcastle University. The grant’s industrial collaborators are…

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Related Projects

Energy Efficient DNNs for Inference at the EDGE
See Project +
International Centre on Spatial Computational Learning
See Project +
MINDS Centre for Doctoral Training
See Project +
Off and On Again: Optimising Intermittently-Powered Systems
See Project +
Energy Harvesting for IoT Devices
See Project +
Wearable and Autonomous Computing for Future Smart Cities
See Project +
Efficient Task Migration in Heterogeneous Multi-Core Systems
See Project +
Accurate and Stable CPU Power Modeling
See Project +
Power and Reliability in Many-core Embedded systems (PRiME)
See Project +

Related Technologies

Fused: Full-System Simulation of Energy-Driven Computers

Fused is a full-system simulator for modelling energy-driven computers. To accurately model the interplay between energy-availability, power consumption, and execution; Fused models energy and execution in a closed feedback loop. The power model is based on recording high-level events (memory accesses, peripheral operations etc.) and states (modules on/off, peripheral operation modes etc.), and computing the instantaneous power consumption at runtime. Simultaneously, external circuitry such as e.g. energy storage, power supply and power management is modelled. The power consumption, power supply, and energy-availability, is then used to calculate the supply voltage, which in turn is monitored by the modeled microcontroller. In…

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GemStone: Hardware-Validated CPU Performance and Energy Modelling

GemStone is a suite of five software tools that, together, identify and evaluate the sources of error in gem5 models against a reference hardware (HW) platform by utilising statistical and machine learning approaches. Independently, the tools serve many purposes: Automating the running of experiments and collection of Performance Monitoring Counters (and temperature and power on supported platforms) on Arm-based devices (ARMv7 and ARMv8); Automating the running of gem5 simulations and aggregating the results; Applying Powmon power models to the hardware results; Applying Powmon power models to gem5 simulation data; Combining the HW and gem5 model characterisations and applying statistical and…

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PowMon: Accurate and Stable CPU Power Estimation

Being able to accurately estimate CPU power consumption is a key requirement for both controlling online CPU energy-saving techniques and design-space exploration. Models built and validated using measured data from an actual device are extremely valuable as their accuracy is known and trusted. PowMon produces power models that are both accurate and stable. The open source PowMon software tools consists of a number of distinct parts: Software tools which allow researchers to implement our automated model building methodology, and produce power models of a platform that are both accurate and stable. Downloadable power models for existing mobile CPUs (quad-core Cortex-A7 and quad-core…

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