Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/108407
Type: | Conference paper |
Title: | A network-based communication platform for a cognitive computer |
Author: | Numan, M. Frost, J. Phillips, B. Liebelt, M. |
Citation: | CEUR Workshop Proceedings, 2015 / Lieto, A., Battaglino, C., Radicioni, D., Sanguinetti, M. (ed./s), vol.1510, pp.94-103 |
Publisher: | RWTH Aachen * Lehrstuhl Informatik V |
Issue Date: | 2015 |
Series/Report no.: | AI*IA |
ISSN: | 1613-0073 |
Conference Name: | International Workshop on Artificial Intelligence and Cognition (AIC) (28 Sep 2015 - 29 Sep 2015 : Turin, Italy) |
Editor: | Lieto, A. Battaglino, C. Radicioni, D. Sanguinetti, M. |
Statement of Responsibility: | Mostafa W. Numan, Jesse Frost, Braden J. Phillips, and Michael Liebelt |
Abstract: | Street is a reconfigurable parallel computer architecture. It executes a production language directly in hardware with the aim of realising advanced cognitive agents in a more energy efficient manner than conventional computers. Street requires frequent communication between many processing elements and to make this communication more energy efficient, a network-based communication platform, StreetNet, is proposed in this paper. It maps the processing elements onto a 2D mesh architecture optimized according to the data dependencies between them. A deadlock-free deterministic routing function is considered for this platform along with the concept of sleep period, analogous to human sleeping, to reorganize the placements of processing elements based on runtime traffic statistics. These mechanisms serve to reduce total network traffic and hence minimise energy consumption. |
Keywords: | Cognitive computer; computer architecture; networks-on- chip; mapping |
Rights: | Copyright © 2015 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors. |
Published version: | http://ceur-ws.org/Vol-1510/ |
Appears in Collections: | Aurora harvest 3 Electrical and Electronic Engineering publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_108407.pdf | Published version | 398.71 kB | Adobe PDF | View/Open |
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