利用相关路径的正松弛实现深亚微米技术的泄漏功率最小化

T. Chakraborty, Santanu Kundu, D. Agrawal, Sanjay Shinde, Jacob Mathews, R. K. James
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引用次数: 1

摘要

泄漏功率最小化是现代低功耗片上系统(SoC)设计的关键问题之一。在后时间闭合阶段,通常采用泄漏就地优化(LIPO),通过将时间数据路径中的高泄漏单元交换为相同占用空间的低泄漏单元来降低泄漏功率。传统的LIPO不接触时钟网络进行泄漏恢复。本文研究了通过最小限度地改变平衡时钟树来进一步降低泄漏功率的机会,这种泄漏功率已经最小化(通过LIPO),定时关闭设计。所提出的方法,机会性LIPO,打算从下游(和/或上游)路径借用未使用的正松弛,可能或可能不在邻近区域,并在当前路径的捕获(和/或发射)时钟边缘提供“正倾斜”(和/或“负倾斜”)。通过这种方式,所提出的方案在当前路径中创造了增加低泄漏电池分布的机会。实验结果表明,在基于28nm技术的工业标准设计中,在大约5000万个栅极的实际持续时间内(小于48小时)计算的结果表明,与传统的LIPO相比,提出的“机会型LIPO”算法在不增加计时违规次数的情况下,泄漏功率提高了10-30%,对总面积没有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leakage power minimization in deep sub-micron technology by exploiting positive slacks of dependent paths
Leakage power minimization is one of the key aspects of modern multi-million low power system-on-chip (SoC) design. In post timing-closure phase, leakage-in-place-optimization (LIPO) is generally adopted to reduce leakage power by swapping high-leaky cells in the timing-data-paths by low-leaky ones of the same footprint. The traditional LIPO does not touch the clock network for leakage recovery. This paper investigates the opportunity to reduce leakage power further of an already leakage-power-minimized (by LIPO), timing closed design by minimally altering the balanced clock tree. The proposed method, Opportunistic LIPO, intends to borrow unused positive-slack from downstream (and/or upstream) paths, may or may not be at immediate neighborhood, and provide a “positive skew” (and/or “negative skew”) at the capture (and/or launch) clock edge of the current path. In this way, the proposed scheme creates an opportunity in the current path to increase the low-leaky cells distribution. Experimental results, computed over some practical duration (less than 48 hours), on some industry-standard design based on 28nm technology, of having around 50 million gates, shows that the proposed algorithm, “Opportunistic LIPO”, achieves 10-30% better leakage power as compared to traditional LIPO without increasing the number of timing violations and having no significant impact on overall area.
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