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Accurate interpolation of library timing parameters through recurrent convolutional neural network
Interpolation is used to approximate the timing parameters of logic cells not specified in
timing tables. Bilinear interpolation has been taken for granted in the industry, but the error …
timing tables. Bilinear interpolation has been taken for granted in the industry, but the error …
DNNLibGen: Deep neural network based fast library generator
E Naswali, AC Quiros… - 2019 26th IEEE …, 2019 - ieeexplore.ieee.org
We propose a new modeling methodology using deep learning techniques for generating
timing models for Static Timing Analysis (STA). Current device behavior is non-linear, non …
timing models for Static Timing Analysis (STA). Current device behavior is non-linear, non …
Fast and accurate library generation leveraging deep learning for ocv modelling
E Naswali, N Kim, P Chandran - 2021 22nd International …, 2021 - ieeexplore.ieee.org
Statistical timing characterization for modeling On-Chip Variation (OCV) is critical in current
technology nodes to avoid over-design and to improve design convergence and …
technology nodes to avoid over-design and to improve design convergence and …
Modeling and design of a nano scale CMOS inverter for symmetric switching characteristics
J Mukhopadhyay, S Pandit - VLSI Design, 2012 - Wiley Online Library
This paper presents a technique for the modeling and design of a nano scale CMOS inverter
circuit using artificial neural network and particle swarm optimization algorithm such that the …
circuit using artificial neural network and particle swarm optimization algorithm such that the …
Fast timing characterization of cells in standard cell library design based on curve fitting
K Charafeddine, F Ouardi - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
This paper presents a fast method for timing characterization of standard cell library. It is
based on curve fitting to solve the CPU resources and storage issues for the generation of a …
based on curve fitting to solve the CPU resources and storage issues for the generation of a …
High-performance low-leakage regions of nano-scaled CMOS digital gates under variations of threshold voltage and mobility
H Aghababa, B Forouzandeh… - Journal of Zhejiang …, 2012 - Springer
We propose a modeling methodology for both leakage power consumption and delay of
basic CMOS digital gates in the presence of threshold voltage and mobility variations. The …
basic CMOS digital gates in the presence of threshold voltage and mobility variations. The …
Beyond SPICE Simulation: A Novel Variability-Aware STA Methodology for Digital Timing Closure
This article proposes a method for performing device-level variability-aware static timing
analysis (STA) on digital circuits using a tool flow methodology based on Python and Bash …
analysis (STA) on digital circuits using a tool flow methodology based on Python and Bash …
基于机器学**的多压多温多参标准单元延迟快速计算方法
赵振宇, 杨天豪, 蒋汶乘, 张书政 - 计算机工程与科学, 2023 - joces.nudt.edu.cn
标准单元库是芯片设计, 分析和验证的基础, 其生成需要耗费大量时间和服务器资源,
因此供应商往往只提供少量端角的标准单元库. 但是, 芯片性能, 功耗, 可靠性等指标的设计需要 …
因此供应商往往只提供少量端角的标准单元库. 但是, 芯片性能, 功耗, 可靠性等指标的设计需要 …
An efficient methodology to characterize the TSPC flip flop setup time for static timing analysis
Static timing analysis (STA), which is a part of design automation requires the generation
and storage of delay values for combinational standard cells and the setup and hold time …
and storage of delay values for combinational standard cells and the setup and hold time …
An efficient method for ECSM characterization of CMOS inverter in nanometer range technologies
Accurate estimation of delay is a major challenge in current nanometer regime using Non
Linear Delay Model (NLDM) due to issues such as parametric variation, nonlinear …
Linear Delay Model (NLDM) due to issues such as parametric variation, nonlinear …