ESL Black Box Power Estimation: Automatic Calibration for IEEE UPF 3.0 Power Models

Authors:
Gereon Onnebrink, Rainer Leupers, and Gerd Ascheid
Book Title:
Proceedings of the 2018 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools
Address:
Manchester, England
Date:
Jan. 2018
Language:
English

BibTeX

@inproceedings{onnebrink-rapido-2018,
author = {Gereon Onnebrink, Rainer Leupers, and Gerd Ascheid},
booktitle = {Proceedings of the 2018 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools},
title = {ESL Black Box Power Estimation: Automatic Calibration for IEEE UPF 3.0 Power Models},
year = {2018},
month = {jan},
address = {Manchester, England},
}

Abstract

Power-aware design space exploration at early electronic system level (ESL) is highly facilitated by virtual platforms. In order to define and exchange power models, the IEEE standard 1801-2015 UPF has been defined to allow developers, vendors and customers seamless usage of the same power models. However, one obstacle is still not covered by the standard: it is not specified and solved how to construct the model in the first place. This paper offers a solution to close this gap. A well proven semi-automatic black box ESL power estimation methodology, which allows to have power estimates with approximately 5 % error, is combined with UPF. Although the standard is based on power state machines and requires another tracing method, a procedure is presented to overcome these differences. Representative case studies show that similar estimation accuracy can be achieved.

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