Print Email Facebook Twitter Energy-efficient multipath ring network for heterogeneous clustered neuronal arrays Title Energy-efficient multipath ring network for heterogeneous clustered neuronal arrays Author Ardelean, Andrei (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Circuits and Systems) Contributor van Leuken, Rene (mentor) Degree granting institution Delft University of Technology Date 2017-11-29 Abstract Simulating large spiking neural networks (SNN) with a high level ofrealism in a field programmable gate array (FPGA) requires efficientnetwork architectures that satisfy both resource and interconnect constraints, as well as changes in traffic patterns due to learning processes.Based on a clustered SNN simulator concept, in this thesis, an energy-efficient multipath ring network topology is presented for the neuron-to-neuron communication. It is compared in terms of its mathematicalproperties with other common network topology graphs after whichthe traffic distributions across it and a two dimensional torus network are estimated and contrasted. As a final characterization step, the energy-delay product of the multipath topology is estimated and compared with other low power architectures. In addition, a simplified binary tree is suggested as a network layer for handling configuration and input/output data that uses a custom channel protocol without the need for routing tables. Subject heterogeneous neuronal arraymultipath ring networktraffic estimation To reference this document use: http://resolver.tudelft.nl/uuid:45020c87-aae3-448d-a04b-d6807fd57892 Embargo date 2018-04-01 Part of collection Student theses Document type master thesis Rights © 2017 Andrei Ardelean Files PDF Thesis_Andrei_Ardelean.pdf 3.34 MB Close viewer /islandora/object/uuid:45020c87-aae3-448d-a04b-d6807fd57892/datastream/OBJ/view