Projects
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| Reference Number | EP/Z531170/1 | |
| Title | International Collaboration Towards Net Zero Computational Modelling and Simulation (CONTINENTS) | |
| Status | Started | |
| Energy Categories | Not Energy Related 70%; Energy Efficiency (Industry) 30%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Professor M Parsons Edinburgh Parallel Computing Centre University of Edinburgh |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 September 2024 | |
| End Date | 31 August 2028 | |
| Duration | 48 months | |
| Total Grant Value | £1,266,772 | |
| Industrial Sectors | No relevance to Underpinning Sectors | |
| Region | Scotland | |
| Programme | International Centre to Centre | |
| Investigators | Principal Investigator | Professor M Parsons , Edinburgh Parallel Computing Centre, University of Edinburgh (99.995%) |
| Other Investigator | Dr N Brown , Edinburgh Parallel Computing Centre, University of Edinburgh (0.001%) Dr I Colfescu , NCAS, University of Leeds (0.001%) Mr A Jackson , Edinburgh Parallel Computing Centre, University of Edinburgh (0.001%) Prof S (Stephen ) Mobbs , School of Earth and Environment, University of Leeds (0.001%) Professor M Weiland , Edinburgh Parallel Computing Centre, University of Edinburgh (0.001%) |
|
| Industrial Collaborator | Project Contact , National Centre for Atmospheric Research (NCAR), USA (0.000%) |
|
| Web Site | ||
| Objectives | ||
| Abstract | The UK's Net Zero strategy is for all sectors of the economy to meet the Net Zero target by 2050. Similar long-term aims to move towards Net Zero emissions on the same timescales exist in other countries, including the USA. High-performance computing (HPC) is not exempt from needing to adapt to these strategic challenges, and pushing HPC towards sustainability and Net Zero is crucial if the scientific community is to keep justifying the use and cost of large-scale HPC resources in the face of climate change. Electricity consumption of data centres and systems is by far the largest contributor to the carbon footprint of operational HPC and minimising the energy that is consumed, and reducing/reusing waste, is therefore key in achieving Net Zero.The International Collaboration Towards Net Zero Computational Modelling and Simulation (CONTINENTS) project will build on the expertise of EPCC, the supercomputing centre at the University of Edinburgh, the National Centre for Atmospheric Science in the UK and the National Centre for Atmospheric Research in the USA to transform the state-of-the-art in sustainability and power/energy efficiency of computational modelling and simulation through an ambitious programme of research that will drive innovations in: data centre and HPC system operation; optimal use of hardware; machine learning applied to data analysis and numerical modelling; and software design and development strategies.As a specific use case, CONTINENTS will focus the application of its research on weather and climate modelling. These are both scientifically and computationally challenging, and compute resource intensive, domains that are vital to furthering our understanding of climate change and the factors that influence it. CONTINENTS is a unique interdisciplinary collaboration between leading centres of HPC research and service provision, atmospheric science experts, and numerical and machine learning application developers, providing a comprehensive approach to addressing the Net Zero challenge from the data centre all the way through to individual applications using both computational and climate science expertise. The projects objectives include: establishing a long-term collaboration between leading supercomputing researchers and centres in the UK and USA; pushing the boundaries of sustainable operation of data centres; exploring the use of novel and specialised hardware; developing new methods for performance, power and energy efficient software development and deployment; minimising the resources needed for moving, processing, analysing and storing data; and creating a collaborative research environment that encourages sharing of expertise and knowledge | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 02/10/24 | |
