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Standard cell library tuning for variability tolerant designs

机译:标准单元库调整,用于可变容差设计

摘要

In todayu26apos;s semiconductor industry we see a move towards smaller technology feature sizes. These smaller feature sizes pose a problem in terms of process controllability, e.g. mismatch between identical cells on a single die known as local variation. In this paper a library tuning method is proposed which makes a smart selection of cells in a standard cell library to reduce the designu26apos;s sensitivity to local variability. This results in a robust IC design with an identifiable behavior towards local variations. Experimental results performed on a widely used microprocessor design synthesized for a high performance timing show that we can achieve a timing spread reduction of 37% at an area increase cost of 7%. In todayu26apos;s semiconductor industry we see a move towards smaller technology feature sizes. These smaller feature sizes pose a problem in terms of process controllability, e.g. mismatch between identical cells on a single die known as local variation. In this paper a library tuning method is proposed which makes a smart selection of cells in a standard cell library to reduce the designu26apos;s sensitivity to local variability. This results in a robust IC design with an identifiable behavior towards local variations. Experimental results performed on a widely used microprocessor design synthesized for a high performance timing show that we can achieve a timing spread reduction of 37% at an area increase cost of 7%.
机译:在当今的半导体工业中,我们看到了向较小的技术特征尺寸的发展。这些较小的特征尺寸在过程可控性方面造成了问题,例如。单个芯片上相同单元之间的不匹配称为局部变异。在本文中,提出了一种库调整方法,该方法在标准单元库中对单元进行了智能选择,以降低设计对局部可变性的敏感性。这样就形成了可靠的IC设计,并具有针对局部变化的可识别行为。在针对高性能时序合成的广泛使用的微处理器设计上进行的实验结果表明,我们可以在面积增加成本为7%的情况下实现37%的时序扩展减少。在当今的半导体工业中,我们看到了向较小的技术特征尺寸的发展。这些较小的特征尺寸在过程可控性方面造成了问题,例如。单个芯片上相同单元之间的不匹配称为局部变异。在本文中,提出了一种库调整方法,该方法在标准单元库中对单元进行了智能选择,以降低设计对局部可变性的敏感性。这样就形成了可靠的IC设计,并具有针对局部变化的可识别行为。在针对高性能时序合成的广泛使用的微处理器设计上进行的实验结果表明,我们可以在面积增加成本为7%的情况下实现37%的时序扩展减少。

著录项

  • 作者

    Fabrie SAJ Sebastien;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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