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ToolsShehzad, Muhammad Naeem, Bashir, Qaisar, Farooq, Umer, Ahmed, Ghufran, Raza, Mohsin, Kumar, Priyan Malarvizhi and Khalid, Muhammad (2020) Threshold temperature scaling:Heuristic to address temperature and power issues in MPSoCs. Microprocessors and Microsystems, 77. ISSN 0141-9331
Full text not available from this repository. (Request a copy)Abstract
In this article, we propose a scheduling based temperature and power-aware heuristic for multi-core systems. Instead of using a fixed value of temperature threshold in load balancing techniques, the proposed heuristic suggests adjusting the value of threshold temperature as a function of the workload. As the workload reduces, the value of the threshold is lowered accordingly and vice versa. Lowering the value of threshold temperature decreases the temperature peaks, temperature spatial, and temporal gradients. Furthermore, it also reduces the total power consumed by the processing unit. The effectiveness of the approach is evaluated in a simulation-based environment that includes a scheduling and a thermal modeling tool. For evaluation, the heuristic is integrated with a state of the art load balancing technique based on global scheduling and a comparison is performed with the popular thermal-aware techniques. The results analysis shows that the use of proposed heuristic lowers the temperature peak by up to 7 °C, temperature spatial gradients by up to 35%, temporal gradient by 65%, and power utilization by up to 5.5% when compared with the state-of-the-art thermal balancing techniques and predictive thermal-aware models.
| Item Type: | Article |
|---|---|
| Additional Information: | Publisher Copyright: © 2020 Elsevier B.V. |
| Uncontrolled Keywords: | embedded systems,multi-core systems,scheduling algorithm,temperature threshold,thermal management,software,hardware and architecture,computer networks and communications,artificial intelligence ,/dk/atira/pure/subjectarea/asjc/1700/1712 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 16 Jun 2025 10:30 |
| Last Modified: | 17 Jun 2025 06:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/99514 |
| DOI: | 10.1016/j.micpro.2020.103124 |
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