@inproceedings{e26a143dbf694087b014c61b73174dc4,
title = "Optimal power switch design methodology for ultra dynamic voltage scaling with a limited number of power rails",
abstract = "Many burst-mode applications require high performance for brief time periods between extended sections of low performance operation. Digital circuits supporting such burst-mode applications should work in both the near-threshold regime and the super-threshold regime for brief time periods. This work proposes the structure support of fine-grained ultra dynamic voltage scaling (UDVS) from the traditional strong-inversion region to the near-threshold region, with limitations on the number of power rails. The number, type, and size of the power switches are jointly optimized to minimize the overall energy consumption of the UDVS circuit block, meanwhile satisfying the target delay or frequency requirement at each DVS level. The proposed optimization framework properly accounts for the dynamic energy consumption as well as the leakage energy consumption through all the power switches during both the operation time and stand-by time of the circuit block. Experimental results on 22nm Predictive Technology Model demonstrate the effectiveness of the proposed optimization framework.",
keywords = "near-threshold, power switch, ultra dynamic voltage scaling (UDVS)",
author = "Yanzhi Wang and Xue Lin and Massoud Pedram",
year = "2014",
doi = "10.1145/2591513.2591585",
language = "English (US)",
isbn = "9781450328166",
series = "Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI",
publisher = "Association for Computing Machinery",
pages = "323--328",
booktitle = "GLSVLSI 2014 - Proceedings of the 2014 Great Lakes Symposium on VLSI",
note = "24th Great Lakes Symposium on VLSI, GLSVLSI 2014 ; Conference date: 21-05-2014 Through 23-05-2014",
}