Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...
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...
—We present a new technique for statistical static timing analysis (SSTA) based on Markov chain Monte Carlo (MCMC), that allows fast and accurate estimation of the right-hand tai...
Yashodhan Kanoria, Subhasish Mitra, Andrea Montana...
Peer-to-peer (p2p) networking technology has gained popularity as an efficient mechanism for users to obtain free services without the need for centralized servers. Protecting thes...
Sinan Hatahet, Abdelmadjid Bouabdallah, Yacine Cha...
—With every process generation, the problem of variability in physical parameters and environmental conditions poses a great challenge to the design of fast and reliable circuits...
Shrikanth Ganapathy, Ramon Canal, Antonio Gonz&aac...