.png){kind=icon}
.png){kind=icon}
Return
A Fast and Effective Sensitivity Calculation Method for Circuit Input Vectors
.png){kind=icon}
PRE
AI
DOI：10.1109/TR.2019.2897455.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The sensitivity of circuit input vectors plays an important role in estimating circuit reliability bounds and identifying reliability-critical gates. Consequently, to effectively calculate the circuit sensitivity for the input vectors is becoming a necessity for nanocircuits, helping circuit designers to select the architecture that best optimizes the tradeoffs between reliability and area power delay. Combining probability signals and employing the iterative strategy presented inMonte Carlo method, this paper proposes an iterative algorithm based on a probabilistic transfer matrix to investigate the circuit sensitivity for the given input vectors, ensuring computational precision and speed. Simulation results on benchmark circuits show that the proposed algorithm is an efficient and accurate method to calculate the sensitivity of the applied input vectors, and that it can be used to improve circuit reliability at a small cost in the early stages of circuit design.
Keywords:
Circuit input vectors
iterative algorithm
probabilistic transfer matrix
probability signal
reliability improvement
sensitivity analysis
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.7
Papers:
2.7K
Citations:
8.5K
View more organizations