Add to ORKGWe propose a new statistical timing analysis algorithm, which produces arrival-time random variables for all internal signals and primary outputs for cell-based designs with all cell delays modeled as random variables. Our algorithm propagates probabilistic tim-ing events through the circuit and obtains final probabilistic events (distributions) at all nodes. The new algorithm is deterministic and flexible in controlling run time and accuracy. However, the algo-rithm has exponential time complexity for circuits with reconver-gent fanouts. In order to solve this problem, we further propose a fast approximate algorithm. Experiments show that this approxi-mate algorithm speeds up the statistical timing analysis by at least an order of magnitud...
In this Ph.D. thesis, a novel non-MC Random differential Equation based Statistical Timing Analysis ...
Abstract—To increase the accuracy of static timing analysis, the traditional nonlinear delay models ...
In this paper, we highlight a fast, effective and practical statistical approach that deals with int...
Accurate estimation of critical path delays in circuits is a challenging task, particularly when var...
Abstract—To improve the accuracy of static timing analysis, the traditional nonlinear delay models a...
DoctorAggressive technology scaling in feature size has propelled designers to integrate millions of...
The 2018 ACM International Workshop on Timing Issues in the Specification and Synthesis of Digital S...
The 2018 ACM International Workshop on Timing Issues in the Specification and Synthesis of Digital S...
This brief presents an efficient approach to statistical static timing analysis (STA), which estimat...
Abstract — Variability in digital integrated circuits makes timing verification an extremely challen...
[[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...
Timing analysis is a cornerstone of the digital design process. Statistical Static Timing Analysis w...
Process variations have a growing impact on circuit performance for today’s integrated circuit (IC) ...
Accurate timing analysis of digital integrated circuits is becoming harder to achieve with current a...
In this Ph.D. thesis, a novel non-MC Random differential Equation based Statistical Timing Analysis ...
Abstract—To increase the accuracy of static timing analysis, the traditional nonlinear delay models ...
In this paper, we highlight a fast, effective and practical statistical approach that deals with int...
Accurate estimation of critical path delays in circuits is a challenging task, particularly when var...
Abstract—To improve the accuracy of static timing analysis, the traditional nonlinear delay models a...
DoctorAggressive technology scaling in feature size has propelled designers to integrate millions of...
The 2018 ACM International Workshop on Timing Issues in the Specification and Synthesis of Digital S...
The 2018 ACM International Workshop on Timing Issues in the Specification and Synthesis of Digital S...
This brief presents an efficient approach to statistical static timing analysis (STA), which estimat...
Abstract — Variability in digital integrated circuits makes timing verification an extremely challen...
[[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...
Timing analysis is a cornerstone of the digital design process. Statistical Static Timing Analysis w...
Process variations have a growing impact on circuit performance for today’s integrated circuit (IC) ...
Accurate timing analysis of digital integrated circuits is becoming harder to achieve with current a...
In this Ph.D. thesis, a novel non-MC Random differential Equation based Statistical Timing Analysis ...
Abstract—To increase the accuracy of static timing analysis, the traditional nonlinear delay models ...
In this paper, we highlight a fast, effective and practical statistical approach that deals with int...