Rowlings, Matthew orcid.org/0000-0003-3800-2055 and Trefzer, Martin Albrecht orcid.org/0000-0002-6196-6832 (2019) Emergent properties of bio-inspired hardware. In: Second International TRANSIT workshop on Cross-disciplinary Research: Emergence, 27-28 Mar 2019.
Abstract
In this case, the emergent property sought to establish is system- level fault tolerance, the inspiration from biology are social insects (ant colonies), and the hardware system is a many-core computing architecture where application tasks and data need to be allocated transferred and organised. The model of processing elements com- municating amongst each other via a network on chip (NoC) provides a conceptual link with many scalable biological models. Based on this, a self-optimising and adaptive, yet fundamentally scalable, design approach for many-core systems based on the emer- gent behaviours of social-insect colonies are developed. Experiments aim to capture the relevant decision processes made by each member of the colony to exhibit such high-level behaviours and embed these decision engines within the routers of the many-core system. Results with the bespoke 128-core Centurion platform suggest that there is potential for the social insect model as a distributed, embedded intelligence within a many-core system and with the relevant knobs and monitors, such as clock frequency and temperature, to close the loop for emergent autonomous adaptation and fault tolerance.
Metadata
Item Type: | Conference or Workshop Item |
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Authors/Creators: |
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Keywords: | Many core,Emergence,Social Insect Inspired Systems,Centurion,FPGA,Computing |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 15 Apr 2019 15:40 |
Last Modified: | 26 Jan 2025 00:22 |
Status: | Published |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:144990 |