Criticality-dependency-aware timing characterization and analysis

For nanometer design, conventional timing analysis may generate over-optimistic results on criticality-dependent paths. A late arrival time at the data input of a flip-flop lengthens the propagation delay from the clock pin to the data output of this flip-flop, thus degrading the timing margins of p...

Full description

Saved in:
Bibliographic Details
Published in2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC) pp. 1 - 6
Main Authors Yu-Ming Yang, King Ho Tam, Jiang, Iris Hui-Ru
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2015
Subjects
Analytical models
Clocks
Criticality-dependency effect
Degradation
Delays
Propagation delay
Time complexity
Timing analysis
Online AccessGet full text

Cover

More Information
Summary:For nanometer design, conventional timing analysis may generate over-optimistic results on criticality-dependent paths. A late arrival time at the data input of a flip-flop lengthens the propagation delay from the clock pin to the data output of this flip-flop, thus degrading the timing margins of paths launching from this flip-flop. To remove the optimism, in this paper, we first propose a simple yet effective triangle model to characterize the criticality-dependency effect. Then, we devise a novel criticality-dependency-aware timing analysis flow, which is seamlessly integrated with the common static timing analysis flow. Experimental results show that our approach can effectively analyze the criticality-dependency effect: Based on the proposed triangle model, we can accurately identify all timing-risky flip-flops and capture the induced timing margin degradation.
ISSN:0738-100X
DOI:10.1145/2744769.2744812