| EPSRC Reference: |
EP/I030239/1 |
| Title: |
libhpc: Intelligent Component-based Development of HPC Applications |
| Principal Investigator: |
Darlington, Professor J |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computing |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research |
| Starts: |
01 July 2011 |
Ends: |
30 June 2013 |
Value (£): |
483,099
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| EPSRC Research Topic Classifications: |
| Aerodynamics |
High Performance Computing |
| Software Engineering |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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02 Mar 2011
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HPC Software Development 2010-11
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Announced
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Summary on Grant Application Form |
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Libhpc aims build and demonstrate an environment for the component-based construction of HPC applications. This environment will enable method implementers to publish and share their contributions as multi-implementation adaptable components, shareable across domains and architectures, making them inherently more re-usable. End users will then be able to compose applications without reference to underlying machine or processor architectures. The aim of libhpc is to initiate a software development pattern for HPC that has knowledge capture and re-use at its core.Libhpc will be based on the combination of two long lines of research: that of Professor Sherwin in the development and application of spectral/hp element codes and that of Professor Darlington in the development of innovative application development methodologies. The project will take as its starting point the Nektar++ methods library and its application to the modelling of blood flow through an aortic arch. This application and the library will be re-factored to identify the necessary re-usable components and co-ordination forms required. These components will be designed and implemented, targeted at a variety of architectures, including, distributed memory clusters, shared memory clusters and GPU processors. A software methods repository with supporting meta-data will be constructed along with application-construction and mapping tools. This environment will then be used to re-express the aortic modelling application and map it systematically to a number of different architectures and machine configurations. These applications will be benchmarked to assess their performance and the improvement in human productivity and reusability gained.
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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: |
http://www3.imperial.ac.uk/lesc/projects/libhpc |
| Further Information: |
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| Organisation Website: |
http://www.imperial.ac.uk |