System-Level Leakage Power Estimation Model for ASIC Designs

With advances in CMOS- technology and sub-micron process, leakage power dissipation has become a critical design metric. To incorporate more functions, designs are getting complex, thereby increases leakage power dissipation. Low power design objective requires early exploration and estimation. In t...

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Main Authors: Abhishek Narayan Tripathi, Arvind Rajawat
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2018-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/2947
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author Abhishek Narayan Tripathi
Arvind Rajawat
author_facet Abhishek Narayan Tripathi
Arvind Rajawat
author_sort Abhishek Narayan Tripathi
collection DOAJ
description With advances in CMOS- technology and sub-micron process, leakage power dissipation has become a critical design metric. To incorporate more functions, designs are getting complex, thereby increases leakage power dissipation. Low power design objective requires early exploration and estimation. In this paper, we present the power estimation models for ASIC (Application Specific Integrated Circuit) based designs at the C-level of abstraction. The method includes analysis and extraction of the application specific information from the LLVM (Low-Level Virtual Machine) bit-code; which further applies to train the neural network. The trained model is applied in the estimation of the leakage power. Estimation of design power using our models is compared to the implemented measurement, which demonstrates its accuracy. In addition, the proposed methodology is significantly quicker and abolishes the need of synthesis based exploration.
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spelling doaj.art-9631e713a9724e22956b0f7d1d6367102023-05-14T20:50:12ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192018-01-0116336136610.15598/aeee.v16i3.29471005System-Level Leakage Power Estimation Model for ASIC DesignsAbhishek Narayan TripathiArvind RajawatWith advances in CMOS- technology and sub-micron process, leakage power dissipation has become a critical design metric. To incorporate more functions, designs are getting complex, thereby increases leakage power dissipation. Low power design objective requires early exploration and estimation. In this paper, we present the power estimation models for ASIC (Application Specific Integrated Circuit) based designs at the C-level of abstraction. The method includes analysis and extraction of the application specific information from the LLVM (Low-Level Virtual Machine) bit-code; which further applies to train the neural network. The trained model is applied in the estimation of the leakage power. Estimation of design power using our models is compared to the implemented measurement, which demonstrates its accuracy. In addition, the proposed methodology is significantly quicker and abolishes the need of synthesis based exploration.http://advances.utc.sk/index.php/AEEE/article/view/2947artificial neural network (ann)asicllvm ir (intermediate representation)power estimationsystem-level.
spellingShingle Abhishek Narayan Tripathi
Arvind Rajawat
System-Level Leakage Power Estimation Model for ASIC Designs
Advances in Electrical and Electronic Engineering
artificial neural network (ann)
asic
llvm ir (intermediate representation)
power estimation
system-level.
title System-Level Leakage Power Estimation Model for ASIC Designs
title_full System-Level Leakage Power Estimation Model for ASIC Designs
title_fullStr System-Level Leakage Power Estimation Model for ASIC Designs
title_full_unstemmed System-Level Leakage Power Estimation Model for ASIC Designs
title_short System-Level Leakage Power Estimation Model for ASIC Designs
title_sort system level leakage power estimation model for asic designs
topic artificial neural network (ann)
asic
llvm ir (intermediate representation)
power estimation
system-level.
url http://advances.utc.sk/index.php/AEEE/article/view/2947
work_keys_str_mv AT abhisheknarayantripathi systemlevelleakagepowerestimationmodelforasicdesigns
AT arvindrajawat systemlevelleakagepowerestimationmodelforasicdesigns