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Optimal Chaining of CMOS Transistors in a Functional Cell

Published: 01 November 2006 Publication History

Abstract

We describe an algorithm that maps a CMOS circuit diagram into an area-efficient, high-performance layout in the style of a transistor chain. It is superior to other published algorithms of this kind in terms of the class of input circuits it accepts, its efficiency, and the quality of the results it produces. This algorithm is intended for the automatic generation of basic cells in a custom or semicustom design environment, thereby removing the burden of arduous mask definition from the designer. We show how our method was used to compose cells in a row into a functional slice (e.g. an adder) that can be used in, say, a data path.

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  • (2021)Standard Cell Routing with Reinforcement Learning and Genetic Algorithm in Advanced Technology NodesProceedings of the 26th Asia and South Pacific Design Automation Conference10.1145/3394885.3431569(684-689)Online publication date: 18-Jan-2021
  • (2021)Invited- NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning2021 58th ACM/IEEE Design Automation Conference (DAC)10.1109/DAC18074.2021.9586188(1291-1294)Online publication date: 5-Dec-2021
  • (2017)Automatic Cell Layout in the 7nm EraProceedings of the 2017 ACM on International Symposium on Physical Design10.1145/3036669.3036672(99-106)Online publication date: 19-Mar-2017
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      cover image IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
      IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  Volume 6, Issue 5
      November 2006
      218 pages

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      IEEE Press

      Publication History

      Published: 01 November 2006

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      Cited By

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      • (2021)Standard Cell Routing with Reinforcement Learning and Genetic Algorithm in Advanced Technology NodesProceedings of the 26th Asia and South Pacific Design Automation Conference10.1145/3394885.3431569(684-689)Online publication date: 18-Jan-2021
      • (2021)Invited- NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning2021 58th ACM/IEEE Design Automation Conference (DAC)10.1109/DAC18074.2021.9586188(1291-1294)Online publication date: 5-Dec-2021
      • (2017)Automatic Cell Layout in the 7nm EraProceedings of the 2017 ACM on International Symposium on Physical Design10.1145/3036669.3036672(99-106)Online publication date: 19-Mar-2017
      • (2015)Simultaneous transistor pairing and placement for CMOS standard cellsProceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition10.5555/2755753.2757194(1647-1652)Online publication date: 9-Mar-2015
      • (2000)CLIPACM Transactions on Design Automation of Electronic Systems10.1145/348019.3482345:3(510-547)Online publication date: 1-Jul-2000
      • (1997)CELLERITYProceedings of the 34th annual Design Automation Conference10.1145/266021.266126(327-332)Online publication date: 13-Jun-1997
      • (1996)XPRESSProceedings of the 1996 European conference on Design and Test10.5555/787259.787627Online publication date: 11-Mar-1996
      • (1996)Global stacking for analog circuitsProceedings of the conference on European design automation10.5555/252471.252538(392-397)Online publication date: 20-Sep-1996
      • (1995)Automatic layout synthesis of leaf cellsProceedings of the 32nd annual ACM/IEEE Design Automation Conference10.1145/217474.217540(267-272)Online publication date: 1-Jan-1995
      • (1991)An efficient layout style for 2-metal CMOS leaf cells and their automatic generationProceedings of the 28th ACM/IEEE Design Automation Conference10.1145/127601.127716(481-486)Online publication date: 1-Jun-1991
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