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A power optimization method considering glitch reduction by gate sizing

机译:考虑栅极尺寸毛刺减少的功率优化方法

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We propose a power optimization method considering glitch reduction by gate sizing. Our method reduces not only the amount of capacitive and short-circuit power consumption but also the power dissipated by glitches which has not been exploited previously. In the optimization method, we improve the accuracy of statistical glitch estimation method and a device gate sizing algorithm that utilizes perturbations for escaping a bad local solution. The effect of our method is verified experimentally using 12 benchmark circuits with a 0.5 /spl mu/m standard cell library. Gate sizing reduces the number of glitch transitions by 38.2% on average and by 63.4% maximum. This results in the reduction of total transitions by 12.8% on average. When the circuits are optimized for power without delay constraints, the power dissipation is reduced by 7.4% on average and by 15.7% maximum further from the minimum-sized circuits.
机译:我们提出了一种考虑栅极尺寸的毛刺减少的功率优化方法。我们的方法不仅减少了电容和短路功耗的量,而且还减少了由之前未被利用的毛刺消耗的功率。在优化方法中,我们提高了统计故障估计方法的准确性和利用扰动来逃避众议性解决方案的设备栅极尺寸算法。我们的方法的效果是通过使用0.5 / SPL MU / M标准单元库的12个基准电路进行实验验证。栅极尺寸减少了平均羽毛过渡的数量,平均值38.2%,最大63.4%。这导致平均过渡的总转变减少12.8%。当电路针对没有延迟约束的功率进行优化时,功率耗散平均减少了7.4%,并且从最小尺寸电路进一步降低了15.7%。

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