| EPSRC Reference: |
EP/L000555/1 |
| Title: |
Abstraction-Level Energy Accounting and Optimisation in Many-core Programming Languages |
| Principal Investigator: |
Nikolopoulos, Professor D |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Sch of Electronics, Elec Eng & Comp Sci |
| Organisation: |
Queen's University of Belfast |
| Scheme: |
Standard Research |
| Starts: |
31 December 2013 |
Ends: |
28 April 2017 |
Value (£): |
661,061
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| EPSRC Research Topic Classifications: |
| Fundamentals of Computing |
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| EPSRC Industrial Sector Classifications: |
| Electronics |
Information Technologies |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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29 May 2013
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SADEA Full
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Announced
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Summary on Grant Application Form |
Energy efficiency is becoming increasingly important in today's world of battery powered mobile devices and power limited servers. While
performance optimisation is a familiar topic for developers, few are even aware of the effects that source code changes will have on the
energy profiles of their programs. Without knowledge of these effects, compiler and operating system writers cannot create automatic energy
optimisers. To realise the needed energy savings, we require the capability to track energy consumption and associate it to code
and data at a fine granularity. Furthermore, compilers and operating systems must exploit this capability to optimise applications
automatically.
This proposal presents a novel approach to software-centric modelling, measurement, accounting and optimisation of energy-efficiency on
many-core systems. Energy consumption will be matched against programming language abstractions, from basic-blocks to functions,
loops, and parallel constructs, and from variables to data structures, providing developers with the information that they need. The project will use this fine grained accounting to build novel compiler optimisations that target energy consumption. It will create low energy runtime systems that adapt to environmental changes. It will develop energy efficient operating system scheduling that manages multi-tasking for heterogeneous many-cores. The project aims to improve performance per Watt by at least 40%.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.qub.ac.uk |