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Details of Grant 

EPSRC Reference: EP/N002539/1
Title: ENergy Efficient Adaptive Computing with multi-grain heterogeneous architectures (ENEAC)
Principal Investigator: Nunez-Yanez, Dr J
Other Investigators:
McIntosh-Smith, Professor SN
Researcher Co-Investigators:
Project Partners:
Altera Group ARM Ltd
Department: Electrical and Electronic Engineering
Organisation: University of Bristol
Scheme: Standard Research
Starts: 05 January 2016 Ends: 04 November 2019 Value (£): 567,204
EPSRC Research Topic Classifications:
Electronic Devices & Subsys. Fundamentals of Computing
EPSRC Industrial Sector Classifications:
Electronics
Related Grants:
Panel History:
Panel DatePanel NameOutcome
15 Jul 2015 EPSRC ICT Prioritisation Panel - Jul 2015 Announced
02 Jun 2015 EPSRC ICT Prioritisation Panel - Jun 2015 Deferred
Summary on Grant Application Form
Energy efficiency is one of the primary design constraints for modern processing systems. Hardware accelerators are seen as a key technology to address the high performance with limited energy issue. In addition the arrival of computing languages such as OpenCL offer a route to the programmer to target different types of multi-core accelerators using a single source code. Performance portability is a significant challenge specially if the accelerators have different microarchitectures such as is the case in CPU-GPU-FPGA systems. This research addresses the energy and performance challenge by investigating how a device formed by processing units with different granularities ranging from coarse grain CPU cores of different complexity, medium grain general purpose GPU cores and fine grain FPGA logic cells can be dynamically programmed. The challenge is to be able to program all these resources with a single programming model and create a run-time system that can automatically tune the software to the best execution resource from energy and performance points of view. The results from this research are expected to deliver new fundamental insights to the question of: How future computers can obtain orders of magnitude higher performance with limited energy budgets?

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Organisation Website: http://www.bris.ac.uk