| EPSRC Reference: |
EP/H051988/1 |
| Title: |
A Predictive Modelling based Approach to Portable Parallel Compilation for Heterogeneous Multi-cores |
| Principal Investigator: |
O'Boyle, Professor M |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Sch of Informatics |
| Organisation: |
University of Edinburgh |
| Scheme: |
Standard Research |
| Starts: |
01 December 2010 |
Ends: |
31 August 2014 |
Value (£): |
494,120
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Parallel Computing |
| System on Chip |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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11 May 2010
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ICT Prioritisation Panel (May 10)
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Announced
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Summary on Grant Application Form |
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Modern computers at their heart consist of multiple processingelements. These multi-core processors have the capability ofdelivering high performance with reduced energy consumption, but arehighly challenging to program. As the number of cores is relativelysmall in number at present, operating systems can make good use ofthem. In the near future, however, the number of cores will rise andvary in type and capability. Currently, this means that programmerswill soon have to think in parallel and work out how to partitiondifferent parts of their programs to run on different types ofcores. Each time this program is run on a new platfrom or the currentone is upgraded, this task will have to be repeated. Due to the sheercomplexity of this process, as hardware increases in size andcomplexity, software will not be able to utilise its potential, leadingto software stagnation.This project aims to prevent this software stagnation by investigatingnew techniques to automatically learn how to utilise new multi-coreplatforms. Using ideas and techniques first developed in artificialintelligence, we will develop a system that automatically learns howto adapt software to work on new platforms. It uses statisticalmachine learning to determine what type of cores to use to give thebest performance and also predicts when software is out-of date.If successful it will be of significant benefit to academics workingin the area, UK industry and in the long term applicationsprogrammers.
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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.ed.ac.uk |