首页> 外文期刊>Circuits and Systems I: Regular Papers, IEEE Transactions on >On Aging-Aware Signoff for Circuits With Adaptive Voltage Scaling
【24h】

On Aging-Aware Signoff for Circuits With Adaptive Voltage Scaling

机译:具有自适应电压缩放的电路的老化感知签收

获取原文
获取原文并翻译 | 示例

摘要

Transistor aging due to bias temperature instability (BTI) is a major reliability concern in sub-32 nm technology. To compensate for aging, designs now typically apply adaptive voltage scaling (AVS) to mitigate performance degradation by elevating supply voltage. Since varying the supply voltage also causes the BTI degradation to vary over lifetime, this presents a new challenge for margin reduction in the context of conventional signoff methodology, which characterizes timing libraries based on transistor models with pre-calculated BTI degradations for a given IC lifetime. In this paper, we study the conditions under which a circuit with AVS requires additional timing margin during signoff. Then, we propose two heuristics for chip designers to characterize an aging-derated standard-cell timing library that accounts for the impact of AVS during signoff. According to our experimental results, this aging-aware signoff approach avoids both overestimation and underestimation of aging—either of which results in power or area penalty—in AVS-enabled systems. Further, we compare circuits implemented with the aging-aware signoff method based on aging-derated libraries versus those based on a flat timing margin. We demonstrate that the flat timing margin method is more pessimistic, and that the pessimism can be mitigated by AVS.
机译:偏置温度不稳定性(BTI)引起的晶体管老化是32纳米以下技术的主要可靠性问题。为了补偿老化,设计现在通常采用自适应电压缩放(AVS),以通过提高电源电压来缓解性能下降。由于电源电压的变化还会导致BTI的性能随着寿命而变化,因此在传统签核方法的背景下,这对于降低裕量提出了新的挑战,该方法在给定的IC寿命下,基于晶体管模型对时序库进行了表征,该模型具有预先计算的BTI退化。在本文中,我们研究了带有AVS的电路在签核期间需要额外时序裕量的情况。然后,我们为芯片设计人员提出了两种启发式方法,以描述老化的标准单元时序库,该库说明了签核期间AVS的影响。根据我们的实验结果,这种支持老化的签收方法避免了在启用AVS的系统中对老化的过高估计和过低估计(二者都会导致功耗或面积损失)。此外,我们比较了基于老化识别库的老化识别签收方法与基于平坦时序裕量的电路之间的比较。我们证明了平坦时序裕度方法更加悲观,而AVS可以缓解这种悲观。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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