Artificial bee colony-inspired run-time task management for many-core systems

Abuassal, Ali Mohamed Ahmed, Tempesti, Gianluca orcid.org/0000-0001-8110-8950 and Trefzer, Martin Albrecht orcid.org/0000-0002-6196-6832 (2018) Artificial bee colony-inspired run-time task management for many-core systems. In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI). 2018 SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE, 18-21 Nov 2018 IEEE , IND , pp. 1084-1091.

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Item Type: Proceedings Paper
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© IEEE, 2018. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

Keywords: Many-core system,Bio-inspired Hardware,bee colony,run-time management
Dates:
  • Published: 30 November 2018
  • Accepted: 26 September 2018
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 26 Sep 2019 09:20
Last Modified: 13 Feb 2025 05:21
Published Version: https://doi.org/10.1109/SSCI.2018.8628713
Status: Published
Publisher: IEEE
Identification Number: 10.1109/SSCI.2018.8628713
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