Energy Efficient Computation on ARM v8 systems
Research Outline: Investigation of strategies and techniques for the optimisation of scientific and graph-based applications running on ARM-based systems (large and small, including ARMv8 64bit processors and accelerators) with a focus on dynamic strategies for controlling performance/energy and application fidelity/accuracy trade-offs, and the implications for codes executing on large, possibly distributed, computing systems, including HPC and the Internet of Things (IoT).
The emphasis of the project will be on the Computer Science aspects such as code and language optimisation techniques, performance analysis and improvement techniques & tools and dynamic, run-time, strategies for mapping applications effectively onto large systems of many-core, low-power, energy-aware systems.
Full funding, in the form of an EPSRC iCASE award is available through ARM for a suitable candidate and there will be opportunities to spend time at ARM site in the U.K.
Applicants interested in the project may apply directly for this project or to the Centre for Doctoral Training at Manchester (see below for further details).
Candidates who have been offered a place for PhD study in the School of Computer Science may be considered for funding by the School. Further details on School funding can be found at: http://www.cs.manchester.ac.uk/study/postgraduate-research/programmes/phd/funding/school-studentships/.
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FTE Category A staff submitted: 44.86
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