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System-level power estimation and optimization

Published: 10 August 1998 Publication History

Abstract

Most work to date on power reduction has focused at the component level, not at the system level. In this paper, we propose a framework for describing the power behavior of system-level designs. The model consists of a set of resources, an environmental workload specification, and a power management policy, which serves as the heart of the system model. We map this model to a simulation-based framework to obtain an estimate of the system's power dissipation. Accompanying this, we propose an algorithm to optimize power management policies. The optimization algorithm can be used in a tight loop with the estimation engine to derive new power-management policy algorithms for a given system-level description. We tested our approach by applying it to a real-life low-power portable design, achieving a power estimation accuracy of ∼10%, and a 23% reduction in power after policy optimization.

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Published In

cover image ACM Conferences
ISLPED '98: Proceedings of the 1998 international symposium on Low power electronics and design
August 1998
318 pages
ISBN:1581130597
DOI:10.1145/280756
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 August 1998

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Overall Acceptance Rate 398 of 1,159 submissions, 34%

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Cited By

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  • (2022)CArrency: An Energy-Efficient Proof-of-Work Scheme for Crypto-CurrenciesProceedings of the Seventh International Conference on Mathematics and Computing10.1007/978-981-16-6890-6_3(23-38)Online publication date: 6-Mar-2022
  • (2019)Power Modeling and CharacterizationTransaction-Level Power Modeling10.1007/978-3-030-24827-7_3(47-57)Online publication date: 1-Aug-2019
  • (2018)Model-Based Design of Energy-Efficient Applications for IoT SystemsElectronic Proceedings in Theoretical Computer Science10.4204/EPTCS.272.3272(24-38)Online publication date: 25-Jun-2018
  • (2018)SystemC-AMS Thermal Modeling for the Co-simulation of Functional and Extra-Functional PropertiesACM Transactions on Design Automation of Electronic Systems10.1145/326712524:1(1-26)Online publication date: 21-Dec-2018
  • (2018)Model‐based design of IoT systems with the BIP component frameworkSoftware: Practice and Experience10.1002/spe.256848:6(1167-1194)Online publication date: 6-Mar-2018
  • (2016)Automatic generation of power state machines through dynamic mining of temporal assertionsProceedings of the 2016 Conference on Design, Automation & Test in Europe10.5555/2971808.2971950(606-611)Online publication date: 14-Mar-2016
  • (2016)Frequency-Aware ESL Power Estimation for ARM Cortex-A9 Using a Black Box Processor ModelACM Transactions on Embedded Computing Systems10.1145/298737516:1(1-26)Online publication date: 13-Oct-2016
  • (2016)Fast Thermal Simulation using SystemC-AMSProceedings of the 26th edition on Great Lakes Symposium on VLSI10.1145/2902961.2902975(427-432)Online publication date: 18-May-2016
  • (2016)Toward a Global Power Manager in Energy Harvesting Wireless Sensor Networks2016 International Conference on Advanced Computing and Applications (ACOMP)10.1109/ACOMP.2016.022(90-96)Online publication date: Nov-2016
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