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  KEYWORD

Development of load partitioning and mapping algorithms on neuromorphic SpiNNaker platform

keywords ALGORITHMS, BIONFORMATICS, BRAIN SIMULATION, GENETICS, HUMAN BRAIN PROJECT, MULTICORE, NETWORK-ON-CHIP, NEURONAL NETWORK, ROUTING ALGORITHMS, SEQUENCING

Reference persons ANDREA ACQUAVIVA, ENRICO MACII

External reference persons Gianvito Urgese, UniversitÓ di Manchester

Research Groups ELECTRONIC DESIGN AUTOMATION - EDA

Thesis type DEVELOPMENT

Description The thesis is in the context of the european project Human Brain Project (https://www.humanbrainproject.eu). It consists in the development of load mapping and allocation algorithms for a neuromorphic multicore platforms aimed at emulating the behaviour of the human brain. The platform, called SpiNNaker (http://apt.cs.manchester.ac.uk/projects/SpiNNaker/), emulates neurons and their communication through spikes using a densely interconnected board exploiting a Network-On-Chip. The purpose of the algorithm is to optimise the usage of the interconnection network exploiting an efficient mapping of neurons populations on the cores accounting for their communication characteristics.

Notes Thesis in collaboration with University of Manchester


Deadline 24/07/2015      PROPONI LA TUA CANDIDATURA




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