Design and evaluation of high-level estimation and optimization techniques for power consumption

This report presents design and evaluation of High-Level Estimation and Optimization Techniques for Power Consumption. Power dissipation has become increasingly more important as a design constraint as factors such as growing portable devices market, reliability, cooling and packaging...

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Main Author: Lee, Sheanwei.
Other Authors: Gwee Bah Hwee
Format: Final Year Project (FYP)
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/17879
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author Lee, Sheanwei.
author2 Gwee Bah Hwee
author_facet Gwee Bah Hwee
Lee, Sheanwei.
author_sort Lee, Sheanwei.
collection NTU
description This report presents design and evaluation of High-Level Estimation and Optimization Techniques for Power Consumption. Power dissipation has become increasingly more important as a design constraint as factors such as growing portable devices market, reliability, cooling and packaging are given a heavier consideration when designing ICs. By obtaining estimation of power consumption at higher levels of abstraction, designers are able to optimize and reduce power consumption more significantly and thus reducing design iteration time. In this project, we investigated the characterization based macro modeling technique by building a power model using information of lower level implementations. Replicating the steps taken, we have determined the inputs used are in normal binary format rather than 2’s complement binary. At the same time, the steps taken were automated whenever possible. Finally, the model was verified against the results from Synopsys Nanosim and an accuracy of 8.07% was obtained.
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spelling ntu-10356/178792023-07-07T17:55:09Z Design and evaluation of high-level estimation and optimization techniques for power consumption Lee, Sheanwei. Gwee Bah Hwee School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Power electronics This report presents design and evaluation of High-Level Estimation and Optimization Techniques for Power Consumption. Power dissipation has become increasingly more important as a design constraint as factors such as growing portable devices market, reliability, cooling and packaging are given a heavier consideration when designing ICs. By obtaining estimation of power consumption at higher levels of abstraction, designers are able to optimize and reduce power consumption more significantly and thus reducing design iteration time. In this project, we investigated the characterization based macro modeling technique by building a power model using information of lower level implementations. Replicating the steps taken, we have determined the inputs used are in normal binary format rather than 2’s complement binary. At the same time, the steps taken were automated whenever possible. Finally, the model was verified against the results from Synopsys Nanosim and an accuracy of 8.07% was obtained. Bachelor of Engineering 2009-06-17T05:42:33Z 2009-06-17T05:42:33Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17879 en Nanyang Technological University 71 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Power electronics
Lee, Sheanwei.
Design and evaluation of high-level estimation and optimization techniques for power consumption
title Design and evaluation of high-level estimation and optimization techniques for power consumption
title_full Design and evaluation of high-level estimation and optimization techniques for power consumption
title_fullStr Design and evaluation of high-level estimation and optimization techniques for power consumption
title_full_unstemmed Design and evaluation of high-level estimation and optimization techniques for power consumption
title_short Design and evaluation of high-level estimation and optimization techniques for power consumption
title_sort design and evaluation of high level estimation and optimization techniques for power consumption
topic DRNTU::Engineering::Electrical and electronic engineering::Power electronics
url http://hdl.handle.net/10356/17879
work_keys_str_mv AT leesheanwei designandevaluationofhighlevelestimationandoptimizationtechniquesforpowerconsumption