Weng, Li-Chuan (2004) Block level voltage. Master of Engineering thesis, Dublin City University.
Abstract
Over the past years, state-of-art power optimization methods move towards higher abstraction levels that result in more efficient power savings. Among existing power optimization approaches, dynamic power management (DPM) is considered to be one of the most effective strategies. Depending on abstraction levels, DPM can be implemented in different formats but here we focus on scheduling that is more suitable for real-time system design use. This differs from the concurrent scheduling approaches that start from either the HLS (High-Level Synthesis) or RTS (Real-Time System) point of view, we propose a synergy solution of both approaches, namely block-level voltage/frequency scheduling (BLVFS). The presented block-level voltage/ frequency scheduling approach shows a generic solution for low power SoC (System on Chip) system design while the approaches which belong to the HLS and RTS categories have a strong dependency on the system functionalities. Consider a SoC as a combination of heterogeneous functional blocks, our approach provides efficient power savings by dynamically scheduling the scaling of voltage and frequency at the same time. Simulation results indicate that by using heuristic based strategies significant power savings can be achieved.
Metadata
Item Type: | Thesis (Master of Engineering) |
---|---|
Date of Award: | 2004 |
Refereed: | No |
Supervisor(s): | Wang, Xiaojun |
Uncontrolled Keywords: | Demand-side management; Electric utilities; Electric controllers; Electric power consumption |
Subjects: | Engineering > Electronic engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License |
ID Code: | 18275 |
Deposited On: | 27 May 2013 14:53 by Celine Campbell . Last Modified 03 Feb 2023 16:23 |
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