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EEC Team

Michael Bane (LinkedIn: external link: https://www.linkedin.com/in/mkbane/)

EEC Overview

please note that we are currently updating this page

Finding ways to reduce the energy consumed by our computing devices whilst sustaining the performance levels, be they mobile phones, data centre servers or supercomputers is the most significant challenge the computer industry faces today. ICT has always been a rapidly evolving sector but significant changes in the IT market such as the increased uptake of storage and computing in the cloud and the maturing of other technologies such as data intensive analytics has led to an unprecedented increase in data volumes.

The management of data in all stages of its lifecycle - from creation through to destruction, and the need to analyse, integrate and share data often in real time - has driven a surge in demand from consumers and businesses alike and consequently increased the energy consumption associated with these services. The Energy Efficient Computing Research Programme has been established through a £19M capital grant from the Department of Business Innovation and Skills to establish a centre of best practice in the UK that will enable users of computer systems to achieve the same outcomes while minimising the consumption of energy.

Globally, there are three strands to energy efficient computing research; the development of energy efficient data centres, the development of energy efficient computers and the development of energy efficient software and algorithms. The EEC Programme seeks to draw together expertise in all three areas by developing our existing expertise and capabilities and through working collaboratively with other leading research centres and industrial organisations to pursue co-design efforts.

Novel Cooling Demonstrator
Our 'novel cooling demonstrator' comprises node boards immersed in mineral oil as coolant. Integrator: ClusterVision using GRC tank+oil and SuperMicro X9 boards comprising dual socket Intel IvyBridge

The Energy Efficiency Computing research group will work with manufacturers & industry to provide solutions that enable 

Specific ideas include

And as part of the bigger picture, EEC will contribute to Hartree's reputation by

Maxeler data flow
Our dataflow cluster supports use of low power FPGA hardware for HPC. Comprises Maxeler Technologies DFE (data flow engines) and a Panasas parallel file system

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