Dey, Somdip and Singh, Amit Kumar and McDonald-Maier, Klaus (2019) P-EdgeCoolingMode: An Agent Based Performance Aware Thermal Management Unit for DVFS Enabled Heterogeneous MPSoCs. IET Computers and Digital Techniques, 13 (6). pp. 514-523. DOI https://doi.org/10.1049/iet-cdt.2019.0037
Dey, Somdip and Singh, Amit Kumar and McDonald-Maier, Klaus (2019) P-EdgeCoolingMode: An Agent Based Performance Aware Thermal Management Unit for DVFS Enabled Heterogeneous MPSoCs. IET Computers and Digital Techniques, 13 (6). pp. 514-523. DOI https://doi.org/10.1049/iet-cdt.2019.0037
Dey, Somdip and Singh, Amit Kumar and McDonald-Maier, Klaus (2019) P-EdgeCoolingMode: An Agent Based Performance Aware Thermal Management Unit for DVFS Enabled Heterogeneous MPSoCs. IET Computers and Digital Techniques, 13 (6). pp. 514-523. DOI https://doi.org/10.1049/iet-cdt.2019.0037
Abstract
Thermal cycling as well as spatial and thermal gradient affects the lifetime reliability and performance of heterogeneous multiprocessor systems-on-chips (MPSoCs). Conventional temperature management techniques are not intelligent enough to cater for performance, energy efficiency as well as operating temperature of the system. In this paper we propose a light-weight novel thermal management mechanism (P-EdgeCoolingMode) in the form of intelligent software agent, which monitors and regulates the operating temperature of the CPU cores to improve reliability of the system while catering for performance requirements. P-EdgeCoolingMode is capable of pro-actively monitoring performance and based on the user’s demand the agent takes necessary action, making the proposed methodology highly suitable for implementation on existing as well as conceptual Edge devices utilizing heterogeneous MPSoCs with dynamic voltage and frequency scaling (DVFS) capabilities. We validated our methodology on the Odroid-XU4 MPSoC and Huawei P20 Lite (HiSilicon Kirin 659 MPSoC). P-EdgeCoolingMode has been successful to reduce the operating temperature while improving performance and reducing power consumption for chosen test cases than the state-of-the-art. For applications with demanding performance requirement P-EdgeCoolingMode has been found to improve the power consumption by 30.62% at the most in comparison to existing state-of-the-art power management methodologies.
Item Type: | Article |
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Uncontrolled Keywords: | microprocessor chips; power aware computing; software agents; system-on-chip; multiprocessing systems; power consumption; cooling; agent-based performance aware thermal management unit; DVFS; heterogeneous MPSoCs; thermal cycling; spatial gradient; thermal gradient; lifetime reliability; operating temperature; intelligent software agent; performance requirements; HiSilicon Kirin 659 MPSoC; heterogeneous multiprocessor systems-on-chips; performance requirement; P-EdgeCoolingMode; light-weight thermal management mechanism; dynamic voltage and frequency scaling capabilities |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 01 Oct 2019 10:54 |
Last Modified: | 30 Oct 2024 15:53 |
URI: | http://repository.essex.ac.uk/id/eprint/25090 |
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