| EPSRC Reference: |
EP/V040863/1 |
| Title: |
Heterogeneous computing platforms for resource-aware video and data analytics (HOPWARE) |
| Principal Investigator: |
Nunez-Yanez, Dr J |
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| Project Partners: |
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| Department: |
Electrical and Electronic Engineering |
| Organisation: |
University of Bristol |
| Scheme: |
Overseas Travel Grants (OTGS) |
| Starts: |
27 July 2021 |
Ends: |
26 October 2021 |
Value (£): |
12,406
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| EPSRC Research Topic Classifications: |
| Fundamentals of Computing |
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Summary on Grant Application Form |
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HOPWARE will investigate how the multi-objective platform created in the CERBERO H2020 project (https://www.cerbero-h2020.eu/) can be applied to heterogeneous computing platforms that combine deep-learning compute units with different capabilities, performance and power characteristics. The proposed heterogeneous computing platform in HOPWARE combines devices like Google EdgeTPUs, Intel VPUs, ARM processors and Xilinx FPGAs programmable via a single machine-learning framework like TensorFlow so that once training completes the network can be run in an optimal configuration of multiple devices. Project partner UPM created in CERBERO an adaptive framework called ARTICO that can assess the status of the system at run-time and deploy different reconfiguration strategies to improve its energy efficiency, robustness and performance. In this research we are particularly interested in the ARTICO/CERBERO approach to run-time monitoring, sensing and estimation of capabilities to assist in the decision of how to distribute the available resources to achieve a functional goal within constraints in power and execution time.
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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.bris.ac.uk |