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TVLSI
2008
105views more  TVLSI 2008»
13 years 4 months ago
Fast Estimation of Timing Yield Bounds for Process Variations
With aggressive scaling down of feature sizes in VLSI fabrication, process variation has become a critical issue in designs. We show that two necessary conditions for the "Max...
Ruiming Chen, Hai Zhou
DAC
2004
ACM
13 years 8 months ago
Statistical gate delay model considering multiple input switching
There is an increased dominance of intra-die process variations, creating a need for an accurate and fast statistical timing analysis. Most of the recent proposed approaches assum...
Aseem Agarwal, Florentin Dartu, David Blaauw
VTS
2003
IEEE
89views Hardware» more  VTS 2003»
13 years 9 months ago
Diagnosis of Delay Defects Using Statistical Timing Models
— In this paper, we study the problem of delay defect diagnosis based on statistical timing models. We propose a diagnosis algorithm that can effectively utilize statistical timi...
Angela Krstic, Li-C. Wang, Kwang-Ting Cheng, Jing-...
ITC
2003
IEEE
126views Hardware» more  ITC 2003»
13 years 9 months ago
Diagnosis-Based Post-Silicon Timing Validation Using Statistical Tools and Methodologies
This paper describes a new post-silicon validation problem for diagnosing systematic timing errors. We illustrate the differences between timing validation and the traditional log...
Angela Krstic, Li-C. Wang, Kwang-Ting Cheng, T. M....
ASPDAC
2006
ACM
130views Hardware» more  ASPDAC 2006»
13 years 10 months ago
Convergence-provable statistical timing analysis with level-sensitive latches and feedback loops
Statistical timing analysis has been widely applied to predict the timing yield of VLSI circuits when process variations become significant. Existing statistical latch timing met...
Lizheng Zhang, Jeng-Liang Tsai, Weijen Chen, Yuhen...
DATE
2008
IEEE
78views Hardware» more  DATE 2008»
13 years 11 months ago
Transistor-Specific Delay Modeling for SSTA
SSTA has received a considerable amount of attention in recent years. However, it is a general rule that any approach can only be as accurate as the underlying models. Thus, varia...
Brian Cline, Kaviraj Chopra, David Blaauw, Andres ...