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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Microelectronics Jou...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Microelectronics Journal
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
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Data sources: DBLP
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Dynamic power estimation using Transaction Level Modeling

Authors: Amr Baher; Ahmed N. El-Zeiny; Ahmed Aly; Ahmed H. Khalil; Adham Hassan; AbdelRahman Saeed; Karim Abo El Makarem; +2 Authors

Dynamic power estimation using Transaction Level Modeling

Abstract

Abstract Designing an efficient (from performance and power points of view) system on chip (SoC) is one of the main challenges nowadays. This paper introduces a methodology that uses Transaction Level Modeling (TLM) to accelerate the simulation time for power estimation allowing fast SoC evaluation. Different modeling techniques are used to develop the proposed Transaction Level Power Modeling (TLPM) methodology. The methodology exploits abstracting the design using TLM. This abstraction allows fast simulation with still accurate functionality of the developed model. The methodology enables estimating power dissipation of real applications running on the SoC with high accuracy. ZYNQ-7000 platform is implemented on RTL and TLM to validate the methodology. The validation of the functionality is obtained through identical scenarios on both TLM and RTL. Experimental results reveal the efficiency and accuracy of the TLPM. The proposed methodology speeds up the simulation time by more than two orders of magnitude over RTL while the error in power estimation is less than 3%.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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