research-article

Frequency-Aware ESL Power Estimation for ARM Cortex-A9 Using a Black Box Processor Model

Authors:

Stefan Schürmans,

Gereon Onnebrink,

Rainer Leupers,

Xiaotao ChenAuthors Info & Claims

ACM Transactions on Embedded Computing Systems (TECS), Volume 16, Issue 1

Article No.: 26, Pages 1 - 26

https://doi.org/10.1145/2987375

Published: 13 October 2016 Publication History

Abstract

Power estimation has become a strongly desired feature in Electronic System Level (ESL) simulations. Most existing power estimation approaches for this abstraction level require component models with observable internals. However, most ESL models of modern processors are delivered as black box components. This work presents a tool-based ESL power estimation methodology for black box models and its extension for multiple clock frequencies. The evaluation uses hardware measurements of the ARM Cortex-A9 subsystem of the OMAP4460 chip for reference. The achieved estimation error is 5% on average for fixed-frequency power models and 7% for multifrequency power models.

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Cited By

Cabrera ANichita PAfonso SAlmeida FBlanco V(2023)Reliable Energy Measurement on Heterogeneous Systems–on–Chip Based EnvironmentsParallel Processing and Applied Mathematics10.1007/978-3-031-30442-2_28(371-382)Online publication date: 28-Apr-2023
https://doi.org/10.1007/978-3-031-30442-2_28
Neubauer KBeichler BHaubelt C(2020)Exact Design Space Exploration Based on Consistent ApproximationsElectronics10.3390/electronics90710579:7(1057)Online publication date: 27-Jun-2020
https://doi.org/10.3390/electronics9071057
Führ GHamurcu SPala DGrass TLeupers RAscheid GEusse J(2019)Automatic Energy-Minimized HW/SW Partitioning for FPGA-Accelerated MPSoCsIEEE Embedded Systems Letters10.1109/LES.2019.290122411:3(93-96)Online publication date: 27-Aug-2019
https://dl.acm.org/doi/10.1109/LES.2019.2901224
Show More Cited By

Index Terms

Frequency-Aware ESL Power Estimation for ARM Cortex-A9 Using a Black Box Processor Model
1. Hardware
  1. Electronic design automation
    1. Modeling and parameter extraction
  2. Power and energy
    1. Power estimation and optimization

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Information & Contributors

Information

Published In

cover image ACM Transactions on Embedded Computing Systems

ACM Transactions on Embedded Computing Systems Volume 16, Issue 1

Special Issue on VIPES, Special Issue on ICESS2015 and Regular Papers

February 2017

602 pages

ISSN:1539-9087

EISSN:1558-3465

DOI:10.1145/3008024

Editor:
Sandeep K. Shukla
Indian Institute of Technology, India

Issue’s Table of Contents

Copyright © 2016 ACM.

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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Association for Computing Machinery

New York, NY, United States

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 13 October 2016

Accepted: 01 August 2016

Revised: 01 June 2016

Received: 01 September 2015

Published in TECS Volume 16, Issue 1

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Cited By

Cabrera ANichita PAfonso SAlmeida FBlanco V(2023)Reliable Energy Measurement on Heterogeneous Systems–on–Chip Based EnvironmentsParallel Processing and Applied Mathematics10.1007/978-3-031-30442-2_28(371-382)Online publication date: 28-Apr-2023
https://doi.org/10.1007/978-3-031-30442-2_28
Neubauer KBeichler BHaubelt C(2020)Exact Design Space Exploration Based on Consistent ApproximationsElectronics10.3390/electronics90710579:7(1057)Online publication date: 27-Jun-2020
https://doi.org/10.3390/electronics9071057
Führ GHamurcu SPala DGrass TLeupers RAscheid GEusse J(2019)Automatic Energy-Minimized HW/SW Partitioning for FPGA-Accelerated MPSoCsIEEE Embedded Systems Letters10.1109/LES.2019.290122411:3(93-96)Online publication date: 27-Aug-2019
https://dl.acm.org/doi/10.1109/LES.2019.2901224
Strobel MFuhr GRadetzki MLeupers R(2019)Combined MPSoC Task Mapping and Memory Optimization for Low-Power2019 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)10.1109/APCCAS47518.2019.8953133(121-124)Online publication date: Nov-2019
https://doi.org/10.1109/APCCAS47518.2019.8953133
Onnebrink GLeupers RAscheid GChillet D(2018)ESL Black Box Power EstimationProceedings of the Rapido'18 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools10.1145/3180665.3180667(1-6)Online publication date: 22-Jan-2018
https://dl.acm.org/doi/10.1145/3180665.3180667
Wang ZO'Boyle M(2018)Machine Learning in Compiler OptimizationProceedings of the IEEE10.1109/JPROC.2018.2817118106:11(1879-1901)Online publication date: Nov-2018
https://doi.org/10.1109/JPROC.2018.2817118
Schuermans SLeupers RSchuermans SLeupers R(2018)ARM Cortex-A9 Case StudyPower Estimation on Electronic System Level using Linear Power Models10.1007/978-3-030-01875-7_6(141-205)Online publication date: 15-Dec-2018
https://doi.org/10.1007/978-3-030-01875-7_6

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