Exploring Scope of Power Reduction with Constrained Physical Synthesis

Kaustav Guha, Sourav Saha, R. Nigaglioni
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Abstract

A new power optimization perspective based on constraint based library access in physical synthesis is presented in this paper. Power constraints are modelled and applied at the terminals of designs or sub designs based on relative power criticality of terminals. These constraints are then used in Physical Synthesis to selectively mask or expose different drive strength or threshold voltage variants of a given cell type. This constrained library access approach is compared with regular library access approach using a state-of-the-art power optimization engine. Experimental data shows it is possible to claim additional power savings in proposed approach with no or minimal performance impact. Also, it is possible to modulate this methodology to have selective focus on dynamic or leakage power if necessary.
探索约束物理合成降低功率的范围
提出了一种基于约束的物理综合库存取的功率优化新思路。基于终端的相对功率临界,对功率约束进行建模并应用于设计的终端或子设计。然后在物理合成中使用这些约束来选择性地掩盖或暴露给定电池类型的不同驱动强度或阈值电压变体。使用最先进的功率优化引擎将这种约束库访问方法与常规库访问方法进行了比较。实验数据表明,在没有或最小的性能影响的情况下,提出的方法可以节省额外的功率。此外,如果需要,也可以调制此方法以选择性地关注动态或泄漏功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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