EPSRC Reference: |
EP/S030069/1 |
Title: |
Centre for Spatial Computational Learning |
Principal Investigator: |
Constantinides, Professor GA |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Electrical and Electronic Engineering |
Organisation: |
Imperial College London |
Scheme: |
Standard Research |
Starts: |
01 November 2019 |
Ends: |
31 October 2022 |
Value (£): |
1,211,769
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EPSRC Research Topic Classifications: |
Fundamentals of Computing |
New & Emerging Comp. Paradigms |
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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 |
07 Mar 2019
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Intl Centre to Centre Fulls
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Announced
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Summary on Grant Application Form |
The rise of the Deep Neural Network as an increasingly universal paradigm of computation has been the defining feature across much of computing in the last few years. At the same time, the traditional von Neumann processor paradigm is being challenged by the rise of hardware spatial computational accelerators, such as FPGAs, which face serious usability and programmability challenges. The deep learning application domain is narrow enough to allow us to reconsider the entire stack of spatial compute, from arithmetic circuits to cloud-based systems, in an integrated and domain-specific manner. We have strong expertise across the breadth of this space. If successful, our joint research centre has the potential to put the UK's expertise at the centre of the technology revolutionising the way high performance and low energy computation is specified and delivered, opening opportunities from ultra-low energy machine learning in internet of things devices through to powering scientific discovery in high-end server farms.
This centre would mark a break-through in international coordination of research in the field. We will: (a) work together to evolve a joint research strategy, (b) deliver elements of that joint research strategy through the staff employed on this grant as well as through academic staff and PhD students in all institutions, (c) facilitate a managed researcher exchange programme through funding exchange / secondment expenses for investigators and visiting researchers, as well as supporting secondments to/from industry (d) hold annual showcase events of our work, and (e) deliver high-quality R&D and STEM advocacy outreach.
By the end of the three-year period, we expect to have a self-sustaining momentum of internationally-coordinated research, incorporating the initial investigators, but extending beyond to new groups and the network of SMEs developing in this area.
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Key Findings |
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 |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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 |
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.imperial.ac.uk |