首页> 外文OA文献 >Fast power- and slew-aware gated clock tree synthesis
【2h】

Fast power- and slew-aware gated clock tree synthesis

机译:快速的电源和转换感知门控时钟树综合

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Clock tree synthesis plays an important role on the total performance of chip. Gated clock tree is an effective approach to reduce the dynamic power usage. In this paper, two novel gated clock tree synthesizers, power-aware clock tree synthesizer (PACTS) and power- and slew-aware clock tree synthesizer (PSACTS), are proposed with zero skew achieved based on Elmore RC model. In PACTS, the topology of the clock tree is constructed with simultaneous buffer/gate insertion, which reduces the switched capacitance. In PSACTS, a more practical clock slew constraint is applied. Compared to previous works, clock tree synthesis is done first and followed by the insertions of clock gates. The clock slew changes a lot after the insertions of clock gates in real cases. In our work, the clock tree is constructed simultaneously with the insertions of clock gates. This ensures the limitation of the clock slew can be strictly satisfied while the limitation of the clock slew is always applied in the real design. The experimental results show that the power cost of our work is smaller and the runtime is reduced. The slew rate constraint is satisfied with a small clock skew from SPICE estimation. Generally, our work has better performance, improved efficiency and is more practical to be applied in the industry.
机译:时钟树综合对芯片的整体性能起着重要作用。门控时钟树是减少动态功耗的有效方法。本文基于Elmore RC模型,提出了两种新型的门控时钟树合成器,即功率感知时钟树合成器(PACTS)以及功率感知和斜率时钟树合成器(PSACTS)。在PACTS中,时钟树的拓扑结构是通过同时插入缓冲区/门来构造的,从而减少了开关电容。在PSACTS中,应用了更实用的时钟压摆约束。与以前的工作相比,时钟树的合成首先完成,然后是时钟门的插入。在实际情况下,插入时钟门后,时钟摆率会发生很大变化。在我们的工作中,时钟树是与时钟门的插入同时构建的。这样可确保严格满足时钟摆幅的限制,而时钟摆幅的限制始终在实际设计中应用。实验结果表明,我们工作的电力成本较小,运行时间减少了。压摆率约束满足了SPICE估计的较小时钟偏斜。通常,我们的工作具有更好的性能,更高的效率,并且在行业中更实用。

著录项

  • 作者

    Lu, J; Chow, WK; Sham, CW;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号