@inproceedings{6af35f94e6ca43f2a066c8a9cf2da943,
title = "Agent-based distributed power management for Kilo-core processors: Special Session: 'Keeping Kilo-core chips cool: New directions and emerging solutions'",
abstract = "Power management for Kilo-core processors have become an intricate problem due to the scalability issues and mixed-workloads of massively multi-threaded applications. This paper highlights the power related issues in Kilo-core processors and presents two emerging trends towards agent-based distributed and self-adaptive power management for Kilo-core processors. Agent-based power management allows applications to autonomously control the power states of their resources while operate efficiently as a whole to improve the overall system's energy efficiency. The first approach based on our concept of virtual power gating that allows applications to temporarily reserve their resources to locally optimize for power efficiency. The second approach is game-theoretic power management to achieve fair resource allocations while maximizing the energy efficiency. We present results for scalability and energy efficiency.",
keywords = "agents, architecture, cross-layer, decentralized, distributed, DPM, game theory, invasive computing, kilo-core, low-power, many-core, power management, processor, scalability, self-adaptive",
author = "Muhammad Shafique and Jorg Henkel",
note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; 2013 32nd IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2013 ; Conference date: 18-11-2013 Through 21-11-2013",
year = "2013",
doi = "10.1109/ICCAD.2013.6691112",
language = "English (US)",
isbn = "9781479910717",
series = "IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD",
pages = "153--160",
booktitle = "2013 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2013 - Digest of Technical Papers",
}