A Timing Aware Connectivity Optimization Technique for Improving Energy Efficiency of High-Performance CPUs

Ayan Datta, Karanvir Singh, Arpita Dutta, Kousik Debnath
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Abstract

The importance of energy efficiency in compute is growing with the exponential increase in the computing requirement. Improved performance at lower power is essential to reduce energy footprint, improve battery life, and push the performance of CPUs even higher through better thermal management. The reduction of dynamic power without any impact on the maximum frequency of operation processors will have a significant role in improving energy efficiency. This paper presents an efficient timing aware connectivity optimisation technique on stdcell, which helps in reducing the dynamic power of designs by optimally connecting the input signals to the standard cell input pins. An efficient algorithm is also proposed to make the right design choices during connectivity optimisation, based on timing and power. Experiments carried out on high-performance CPU core designs, at Intel's 14nm Finfet technology, show up to 2% reduction in dynamic power, without having any impact on total negative margin, worst negative margin, output slews, and cumulative margin histogram. The ease of implementation, minimal ECO effort and less than an hour run time makes this method an easy choice, even at the late stages of design closure.
一种提高高性能cpu能效的时序感知连接优化技术
随着计算需求的指数级增长,能源效率在计算中的重要性也越来越大。在低功耗下提高性能对于减少能源占用、延长电池寿命以及通过更好的热管理提高cpu性能至关重要。在不影响处理器最大运行频率的情况下降低动态功率,将对提高能效起到重要作用。本文提出了一种有效的标准单元时序感知连接优化技术,该技术通过将输入信号优化连接到标准单元输入引脚,有助于降低设计的动态功率。提出了一种有效的算法,在连接优化过程中根据时间和功耗做出正确的设计选择。在英特尔14nm Finfet技术的高性能CPU核心设计上进行的实验显示,动态功耗降低了2%,而对总负余量、最坏负余量、输出slets和累积余量直方图没有任何影响。易于实现,最小的ECO工作量和不到一个小时的运行时间使这种方法成为一个简单的选择,即使在设计关闭的后期阶段。
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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