Journal article
Design Methodology for Voltage-Scaled Clock Distribution Networks
IEEE transactions on very large scale integration (VLSI) systems, v 24(10), pp 3080-3093
01 Oct 2016
Abstract
A low-voltage/swing clocking methodology is developed through both circuit and algorithmic innovations. The primary objective is to significantly reduce the power consumed by the clock network while maintaining the circuit performance the same. The methodology consists of two primary components: 1) a novel D-flip-flop (DFF) cell that maximizes power savings by enabling low-voltage/swing operation throughout the entire clock network and 2) a novel clock tree synthesis algorithm to ensure that the same timing constraints (i.e., clock frequency, skew, and slew) are satisfied. The proposed methodology is integrated within an industrial design flow. Experimental results on ISCAS'89 benchmark circuits demonstrate that the overall power consumed by the clock tree can be reduced by up to 27% and 44% in, respectively, 32- and 45-nm technologies while satisfying the same timing constraints. Furthermore, the proposed low-swing DFF cell maintains the clock-to-Q delay the same while achieving up to 32% and 15% power savings in the overall flip-flop power of the benchmark circuits at, respectively, 1- and 1.5-GHz clock frequencies.
Metrics
Details
- Title
- Design Methodology for Voltage-Scaled Clock Distribution Networks
- Creators
- Can Sitik - Drexel UniversityWeicheng Liu - Stony Brook UniversityBaris Taskin - Drexel UniversityEmre Salman - Stony Brook University
- Publication Details
- IEEE transactions on very large scale integration (VLSI) systems, v 24(10), pp 3080-3093
- Publisher
- IEEE
- Number of pages
- 14
- Grant note
- 2013-TJ-2449; 2013-TJ-2450 / Semiconductor Research Corporation
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000385407700006
- Scopus ID
- 2-s2.0-84962490005
- Other Identifier
- 991019168700404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Engineering, Electrical & Electronic