Width Minimization in the Single-Electron Transistor Array Synthesis

碩士 === 國立清華大學 === 資訊工程學系 === 102 === Power consumption has become one of the primary challenges to meet the Moore’s law. For reducing power consumption, Single-Electron Transistor (SET) at room temperature has been demonstrated as a promising device for extending Moore’s law due to its ultra-low pow...

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Main Authors: Liu, Chian-Wei, 劉千瑋
Other Authors: Wang, Chun-Yao
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/53188790540861651573
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spelling ndltd-TW-102NTHU53920572015-10-13T23:37:12Z http://ndltd.ncl.edu.tw/handle/53188790540861651573 Width Minimization in the Single-Electron Transistor Array Synthesis 單電子電晶體電路寬度最小化之合成技術 Liu, Chian-Wei 劉千瑋 碩士 國立清華大學 資訊工程學系 102 Power consumption has become one of the primary challenges to meet the Moore’s law. For reducing power consumption, Single-Electron Transistor (SET) at room temperature has been demonstrated as a promising device for extending Moore’s law due to its ultra-low power consumption in operation. Prior works have proposed automated mapping approaches for SET arrays which focus on minimizing the number of hexagons in SET arrays. However, the area of an SET array is the product of the bounded height and bounded width, and the height is usually equal to the number of inputs in the Boolean function. Consequently, in this work, we focus on the width minimization in the mapping of the SET arrays. Our approach consists of techniques of product term minimization, variable reordering, product term reordering and architecture relaxation. The experimental results show that the proposed approach saves 45\% of width compared with the state-of-the-art for a set of MCNC and IWLS 2005 benchmarks. Wang, Chun-Yao 王俊堯 2014 學位論文 ; thesis 33 en_US
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description 碩士 === 國立清華大學 === 資訊工程學系 === 102 === Power consumption has become one of the primary challenges to meet the Moore’s law. For reducing power consumption, Single-Electron Transistor (SET) at room temperature has been demonstrated as a promising device for extending Moore’s law due to its ultra-low power consumption in operation. Prior works have proposed automated mapping approaches for SET arrays which focus on minimizing the number of hexagons in SET arrays. However, the area of an SET array is the product of the bounded height and bounded width, and the height is usually equal to the number of inputs in the Boolean function. Consequently, in this work, we focus on the width minimization in the mapping of the SET arrays. Our approach consists of techniques of product term minimization, variable reordering, product term reordering and architecture relaxation. The experimental results show that the proposed approach saves 45\% of width compared with the state-of-the-art for a set of MCNC and IWLS 2005 benchmarks.
author2 Wang, Chun-Yao
author_facet Wang, Chun-Yao
Liu, Chian-Wei
劉千瑋
author Liu, Chian-Wei
劉千瑋
spellingShingle Liu, Chian-Wei
劉千瑋
Width Minimization in the Single-Electron Transistor Array Synthesis
author_sort Liu, Chian-Wei
title Width Minimization in the Single-Electron Transistor Array Synthesis
title_short Width Minimization in the Single-Electron Transistor Array Synthesis
title_full Width Minimization in the Single-Electron Transistor Array Synthesis
title_fullStr Width Minimization in the Single-Electron Transistor Array Synthesis
title_full_unstemmed Width Minimization in the Single-Electron Transistor Array Synthesis
title_sort width minimization in the single-electron transistor array synthesis
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/53188790540861651573
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