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Computing beyond a million processors - bio-inspired massively parallel architectures.

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  • Full or part time
    Dr J Garside
    Prof S Furber
    Dr David Lester
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

The SpiNNaker project aims to deliver a computing system that incorporates a million embedded ARM processors with the objective of supporting simulations of very large-scale systems of spiking neurons in real time. The project offers opportunities for PhD projects across a wide range of subject areas from networks-on-chip through real-time execution management all the way up to building neural models of specific regions of the brain.
There are challenges in this project from understanding brain function at the highest level, through automatic mapping of neural models onto a highly distributed computation platform down to architecture optimisation and run-time fault and energy management.

Funding Notes

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.

References

http://apt.cs.manchester.ac.uk//projects/SpiNNaker/

http://apt.cs.manchester.ac.uk/people/sfurber/

How good is research at The University of Manchester in Computer Science and Informatics?

FTE Category A staff submitted: 44.86

Research output data provided by the Research Excellence Framework (REF)

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