| EPSRC Reference: |
EP/F011571/1 |
| Title: |
Towards Generic Scalability of the Unifed Model |
| Principal Investigator: |
Steenman-Clark, Dr L |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Meteorology |
| Organisation: |
University of Reading |
| Scheme: |
Standard Research |
| Starts: |
01 October 2007 |
Ends: |
31 March 2009 |
Value (£): |
120,701
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| EPSRC Research Topic Classifications: |
| High Performance Computing |
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| EPSRC Industrial Sector Classifications: |
| Environment |
Information Technologies |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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16 Apr 2007
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HPC Software Development (Science)
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Announced
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Summary on Grant Application Form |
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SummaryThe Met Office's Unified Model (UM) is a computer model of the processes that determine our weather and the Earth's climate. The UM can be set up to simulate weather on a small, regional scale, or a global scale and the level-of-detail (resolution of the model) can be varied to capture more or less information about the physical processes involved.The model can take a very long time to run, even on very large supercomputers. The Met Office themselves buy a new supercomputer, the fastest they can afford, every few years and this lets them keep up with the increasing complexity of the model the scientists wish to explore.The UM is also used by a large number of academic researchers and scientists in Universities. Reading University are the key providers of the UM to the academic community and they work closely with the Met Office to make the model available. Academics typically run the UM on the supercomputers provided by the government as part of a National Service provided to all scientists in the U.K. Much of the time on these computers is used by the many users of the UM, and anything that can be done to make better use of the time on these computers is of benefit to the community as a whole. For example, if the UM can be made to run faster on a supercomputer, more science runs could be done in the time available or the computer could be used to run some code from another scientist.The scientists in the U.K also have several other large computers on which they wish to run the model. These computers are often owned by the University the scientist works at. There are also scientists in other countries that use the UM on their supercomputers. For instance, the UM is run on the Earth Simulator in Japan.Since the UM is used by so many people on so many computers, there are some quite well known problems with the way the code is written that stop it running as fast as it could. For each of these problems, this project aims to change the code so that it will run faster. We hope to make changes to the code that can be tailored to each of the machines on which the UM is run in as simple a way as possible so that the benefits apply to as many scientists as possible. The project will help the Met Office too because they will have a wider choice of machines that they can consider buying in the future.
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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.rdg.ac.uk |