Critical path selection is an indispensable step for AC delay test and timing validation. Traditionally, this step relies on the construction of a set of worse-case paths based upon discrete timing models. However, the assumption of discrete timing models can be invalidated by timing defects and process variation in the deep sub-micron domain, which are often continuous in nature. As a result, critical paths defined in a traditional timing analysis approach may not be truly critical in reality. In this paper, we propose using a statistical delay evaluation framework for estimating the quality of a path set. Based upon the new framework, we demonstrate how the traditional definition of a critical path set may deviate from the true critical path set in the deep sub-micron domain. To remedy the problem, we discuss improvements to the existing path selection strategies by including new objectives. We then compare statistical approaches with traditional approaches based upon experimental analysis of both defect-free and defect-injected cases.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Jing-Jia LIOU, Li-C. WANG, Angela KRSTIĆ, Kwang-Ting (Tim) CHENG, "Critical Path Selection for Deep Sub-Micron Delay Test and Timing Validation" in IEICE TRANSACTIONS on Fundamentals,
vol. E86-A, no. 12, pp. 3038-3048, December 2003, doi: .
Abstract: Critical path selection is an indispensable step for AC delay test and timing validation. Traditionally, this step relies on the construction of a set of worse-case paths based upon discrete timing models. However, the assumption of discrete timing models can be invalidated by timing defects and process variation in the deep sub-micron domain, which are often continuous in nature. As a result, critical paths defined in a traditional timing analysis approach may not be truly critical in reality. In this paper, we propose using a statistical delay evaluation framework for estimating the quality of a path set. Based upon the new framework, we demonstrate how the traditional definition of a critical path set may deviate from the true critical path set in the deep sub-micron domain. To remedy the problem, we discuss improvements to the existing path selection strategies by including new objectives. We then compare statistical approaches with traditional approaches based upon experimental analysis of both defect-free and defect-injected cases.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e86-a_12_3038/_p
Copy
@ARTICLE{e86-a_12_3038,
author={Jing-Jia LIOU, Li-C. WANG, Angela KRSTIĆ, Kwang-Ting (Tim) CHENG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Critical Path Selection for Deep Sub-Micron Delay Test and Timing Validation},
year={2003},
volume={E86-A},
number={12},
pages={3038-3048},
abstract={Critical path selection is an indispensable step for AC delay test and timing validation. Traditionally, this step relies on the construction of a set of worse-case paths based upon discrete timing models. However, the assumption of discrete timing models can be invalidated by timing defects and process variation in the deep sub-micron domain, which are often continuous in nature. As a result, critical paths defined in a traditional timing analysis approach may not be truly critical in reality. In this paper, we propose using a statistical delay evaluation framework for estimating the quality of a path set. Based upon the new framework, we demonstrate how the traditional definition of a critical path set may deviate from the true critical path set in the deep sub-micron domain. To remedy the problem, we discuss improvements to the existing path selection strategies by including new objectives. We then compare statistical approaches with traditional approaches based upon experimental analysis of both defect-free and defect-injected cases.},
keywords={},
doi={},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - Critical Path Selection for Deep Sub-Micron Delay Test and Timing Validation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3038
EP - 3048
AU - Jing-Jia LIOU
AU - Li-C. WANG
AU - Angela KRSTIĆ
AU - Kwang-Ting (Tim) CHENG
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E86-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2003
AB - Critical path selection is an indispensable step for AC delay test and timing validation. Traditionally, this step relies on the construction of a set of worse-case paths based upon discrete timing models. However, the assumption of discrete timing models can be invalidated by timing defects and process variation in the deep sub-micron domain, which are often continuous in nature. As a result, critical paths defined in a traditional timing analysis approach may not be truly critical in reality. In this paper, we propose using a statistical delay evaluation framework for estimating the quality of a path set. Based upon the new framework, we demonstrate how the traditional definition of a critical path set may deviate from the true critical path set in the deep sub-micron domain. To remedy the problem, we discuss improvements to the existing path selection strategies by including new objectives. We then compare statistical approaches with traditional approaches based upon experimental analysis of both defect-free and defect-injected cases.
ER -