| EPSRC Reference: |
EP/N018869/1 |
| Title: |
Accelerating Scientific Discovery with Accelerated Computing |
| Principal Investigator: |
Richmond, Professor P |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computer Science |
| Organisation: |
University of Sheffield |
| Scheme: |
EPSRC Fellowship |
| Starts: |
01 March 2016 |
Ends: |
01 October 2021 |
Value (£): |
721,298
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| EPSRC Research Topic Classifications: |
| Bioinformatics |
Complexity Science |
| Transport Ops & Management |
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| EPSRC Industrial Sector Classifications: |
| Healthcare |
Transport Systems and Vehicles |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
My proposed Fellowship will revolutionise the use of High Performance Computing (HPC) within The University of Sheffield by changing perceptions of how people utilise software and are trained and supported in writing code which scales to increasingly large computer systems. I will provide leadership by demonstrating the effectiveness of specific research software engineer roles, and by growing a team of research software engineer at The University of Sheffield in order to accommodate our expanding programme of research computing. I will achieve this by: 1) developing the FLAME and FLAME GPU software to facilitate and demonstrate the impact of Graphics Processing Unit (GPU) computing on the areas of complex systems simulation; 2) vastly extending the remit of GPUComputing@Sheffield to provide advanced training and research consultancy, and to embed specific software engineering skills for high-performance data parallel computing (with GPUs and Xeon Phis) across EPSRC-remit research areas at The University of Sheffield.
My first activity will enable long-term support of the extensive use of FLAME and FLAME GPU for EPSRC, industry and EU-funded research projects. The computational science and engineering projects supported will include those as diverse as computational economics, bioinformatics and transport simulation. Additionally, my software will provide a platform for more fundamental computer science research into complexity science, graphics and visualisation, programming languages and compilers, and software engineering.
My second activity will champion GPU computing within The University of Sheffield (and beyond to its collaborators and industrial partners). It will demonstrate how a specific area of research software engineering can be embedded into The University of Sheffield, and act as a model for further improvement in areas such as research software and data storage. I will change the way people develop
and use research software by providing training to students and researchers who can then embed GPU software engineering skills across research domains. I will also aid researchers who work on computationally demanding research by providing software engineering consultancy in areas that can benefit from GPU acceleration, such as, mobile GPU computing for robotics, deep neural network simulation for machine learning (including speech, hearing and Natural language processing) and real time signal processing.
The impact of my Fellowship will vastly expand the scale and quality of research computing at The University of Sheffield, embed skills within students and researchers (with long-term and wide-reaching results) and ensure energy-efficient use of HPC. This will promote the understanding and wider use of GPU computing within research, as well as transitioning researchers to larger regional and national HPC facilities. Ultimately my research software engineer fellowship will facilitate the delivery of excellent science whilst promoting the unique and important role of the Research Software Engineer.
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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.shef.ac.uk |