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Accurate power estimation of CMOS digital circuits and its application to low-power digital logic synthesis.

机译:CMOS数字电路的准确功率估计及其在低功率数字逻辑合成中的应用。

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摘要

As mobile and portable information systems are becoming more popular, there is a need for the development of low-power and high-speed design technology to handle excess heat dissipation, reliability concerns, and battery life. On the other hand, deep submicron processes are pushing higher levels of integration, which increases power density and the number of transistors in VLSI circuits. As a result, it has become important to consider power dissipation and reliability issues during the design phase. In order to design circuits for low power and high reliability, accurate estimation of power dissipation is required. In CMOS digital circuits, the majority of the power dissipation is due to charging and discharging of load capacitances of logic gates. Such charging and discharging depends on input signal patterns. To estimate average power dissipation, trying all possible combinations of primary inputs is computationally too expensive. In this thesis, we have developed techniques to accurately estimate power dissipation in CMOS combinational and sequential circuits using probabilistic and statistical approaches. We model the primary inputs as stochastic processes such that each input signal is characterized by signal probability and activity. These approaches take into account temporal and spatial correlations of signals of circuit nodes, power dissipation due to charging and discharging of internal nodes of logic gates, and uncertainty of gate delays. The estimation techniques have been implemented in the C programing language. Results of the estimation techniques show that the errors are on an average within 5% of the results obtained by long run simulation. The probabilistic technique has been applied to combinational logic synthesis to optimize for power and area. Results show that the power consumption is reduced by 10% (on an average) with minimal increase in area.
机译:随着移动和便携式信息系统变得越来越流行,需要开发低功率和高速设计技术来处理过多的散热,可靠性问题和电池寿命。另一方面,深亚微米工艺正在推动更高的集成度,从而增加了功率密度和VLSI电路中晶体管的数量。结果,在设计阶段考虑功耗和可靠性问题就变得很重要。为了设计低功耗和高可靠性的电路,需要准确估计功耗。在CMOS数字电路中,大部分功耗是由于逻辑门的负载电容的充电和放电引起的。这种充电和放电取决于输入信号模式。为了估计平均功耗,尝试所有主要输入的可能组合在计算上过于昂贵。在本文中,我们开发了使用概率和统计方法准确估算CMOS组合电路和时序电路功耗的技术。我们将主要输入建模为随机过程,以使每个输入信号都具有信号概率和活动性。这些方法考虑了电路节点信号的时间和空间相关性,由于逻辑门的内部节点的充电和放电引起的功耗以及门延迟的不确定性。估计技术已用C编程语言实现。估计技术的结果表明,误差平均在长期模拟获得的结果的5%以内。概率技术已应用于组合逻辑综合,以优化功率和面积。结果表明,功耗降低了(平均)10%,而面积增加最小。

著录项

  • 作者

    Chou, Tan-Li.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1996
  • 页码 185 p.
  • 总页数 185
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

  • 入库时间 2022-08-17 11:49:24

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