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ICCAD
2007
IEEE
161views Hardware» more  ICCAD 2007»
14 years 1 months ago
Clustering based pruning for statistical criticality computation under process variations
— We present a new linear time technique to compute criticality information in a timing graph by dividing it into “zones”. Errors in using tightness probabilities for critica...
Hushrav Mogal, Haifeng Qian, Sachin S. Sapatnekar,...
DATE
2007
IEEE
130views Hardware» more  DATE 2007»
13 years 11 months ago
A novel criticality computation method in statistical timing analysis
Abstract— The impact of process variations increases as technology scales to nanometer region. Under large process variations, the path and arc/node criticality [18] provide effe...
Feng Wang 0004, Yuan Xie, Hai Ju
ICCAD
2006
IEEE
130views Hardware» more  ICCAD 2006»
14 years 1 months ago
On bounding the delay of a critical path
Process variations cause different behavior of timingdependent effects across different chips. In this work, we analyze one example of timing-dependent effects, crosscoupling ...
Leonard Lee, Li-C. Wang
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
13 years 11 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou
DAC
2010
ACM
13 years 8 months ago
Performance yield-driven task allocation and scheduling for MPSoCs under process variation
With the ever-increasing transistor variability in CMOS technology, it is essential to integrate variation-aware performance analysis into the task allocation and scheduling proce...
Lin Huang, Qiang Xu