Fast and accurate aging-aware cell timing model via graph learning

Y Ye, T Chen, Z Wang, H Yan, B Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With transistors scaling down, aging effects become increasingly significant in circuit design.
Thus, the aging-aware cell timing model is necessary for evaluating the aging-induced delay …

Approximate decision trees for machine learning classification on tiny printed circuits

K Balaskas, G Zervakis, K Siozios… - … on Quality Electronic …, 2022 - ieeexplore.ieee.org
Although Printed Electronics (PE) cannot compete with silicon-based systems in
conventional evaluation metrics, eg, integration density, area and performance, PE offers …

Variability-aware approximate circuit synthesis via genetic optimization

K Balaskas, F Klemme, G Zervakis… - … on Circuits and …, 2022 - ieeexplore.ieee.org
One of the major barriers that CMOS devices face at nanometer scale is increasing
parameter variation due to manufacturing imperfections. Process variations severely inhibit …

[PDF][PDF] 基于性能退化的智能脱扣器电源模块健康状态预测

李奎, 赵伟焯, 戴逸华, 王尧, 王阳 - 仪器仪表学报, 2023 - yqyb.cnjournals.com
一般情况下电子产品在失效前性能已经发生退化, 而传统的寿命预测方法没有利用退化信息.
以智能脱扣器电源模块为研究对象, 分析MOSFET 开关周期和电路薄弱环节储能电容退化之间 …

Timing-Driven Technology Mapping Approximation Based on Reinforcement Learning

Y Ye, T Chen, Y Gao, H Yan, B Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As the transistor technology nodes shrink into the nano-scales, timing guardbands caused
by aging effects and process variations continue to increase. Approximate computing can …

Switching Activity Factor-Based ECSM Characterization (SAFE): A Novel Technique for Aging-Aware Static Timing Analysis

LC Acharya, A Sharma, N Mishra… - … on Computer-Aided …, 2024 - ieeexplore.ieee.org
We propose SAFE (Switching Activity Factor-based Effective Current Source Model) for
aging-aware static timing analysis (STA), a new technique for estimating the timing …

Hardware–Software Co-design for Ultra-Resource-Constrained Embedded Machine Learning Inference: A Printed Electronics Use Case

G Zervakis, MB Tahoori, J Henkel - … Learning for Cyber-Physical, IoT, and …, 2023 - Springer
In this chapter, we discuss hardware–software co-design approaches that enable machine
learning inference on ultra-resource-constrained embedded systems. As our use case, we …

An aging simulation method based on the change of input vector inside the critical path

Q Sang, X Yang, L Wang, S Wang… - Journal of Physics …, 2024 - iopscience.iop.org
With the large-scale expansion and process shrinking of modern integrated circuits, aging
has become one of the main factors threatening circuit reliability. To evaluate the impact of …