The 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 26-29 May 2019This work is aimed at the development of a pathbased approach to Statistical Static Timing Analysis. Timing Analysis is an absolutely essential step in the verification of Very Large Scale Integration (VLSI) designs. We propose a novel analytical methodology for the fast calculations of VLSI delay. The problem is stated in such a way that becomes equivalent to finding the maximum of a large set of correlated random variables (RVs). For this purpose, a corresponding extension of extreme value theory of weakly-correlated RVs is developed. Results of simulations showing a comparison of our approach with Monte Carlo simulations are presented. Po...
Process variations have a growing impact on circuit performance for today’s integrated circuit (IC) ...
Abstract — State of the art statistical timing analysis (STA) tools often yield less accurate result...
Abstract — State of the art statistical timing analysis (STA) tools often yield less accurate result...
The 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 26-29 May 201...
An efficient and accurate statistical static timing analysis (SSTA) algorithm is reported in this wo...
The effect of process variation is getting worse with every technology generation. With variability ...
The effect of process variation is getting worse with every technology generation. With variability ...
Abstract—To increase the accuracy of static timing analysis, the traditional nonlinear delay models ...
Current technology trends have led to the growing impact of both inter-die and intra-die process var...
In this paper, we highlight a fast, effective and practical statistical approach that deals with int...
International audienceStatistical Static Timing Analysis (SSTA) is becoming necessary; but has not b...
Accurate estimation of critical path delays in circuits is a challenging task, particularly when var...
[[abstract]]We propose a false-path-aware statistical timing analysis framework. In our framework, c...
We propose a false-path-aware statistical timing analysis frame-work. In our framework, cell as well...
Abstract—As process variations become a significant problem in deep sub-micron technology, a shift f...
Process variations have a growing impact on circuit performance for today’s integrated circuit (IC) ...
Abstract — State of the art statistical timing analysis (STA) tools often yield less accurate result...
Abstract — State of the art statistical timing analysis (STA) tools often yield less accurate result...
The 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Sapporo, Japan, 26-29 May 201...
An efficient and accurate statistical static timing analysis (SSTA) algorithm is reported in this wo...
The effect of process variation is getting worse with every technology generation. With variability ...
The effect of process variation is getting worse with every technology generation. With variability ...
Abstract—To increase the accuracy of static timing analysis, the traditional nonlinear delay models ...
Current technology trends have led to the growing impact of both inter-die and intra-die process var...
In this paper, we highlight a fast, effective and practical statistical approach that deals with int...
International audienceStatistical Static Timing Analysis (SSTA) is becoming necessary; but has not b...
Accurate estimation of critical path delays in circuits is a challenging task, particularly when var...
[[abstract]]We propose a false-path-aware statistical timing analysis framework. In our framework, c...
We propose a false-path-aware statistical timing analysis frame-work. In our framework, cell as well...
Abstract—As process variations become a significant problem in deep sub-micron technology, a shift f...
Process variations have a growing impact on circuit performance for today’s integrated circuit (IC) ...
Abstract — State of the art statistical timing analysis (STA) tools often yield less accurate result...
Abstract — State of the art statistical timing analysis (STA) tools often yield less accurate result...