Efficient Circuit Structure Analysis for Automatic Behavioral Model Generation in Mixed-Signal System Simulation
| العنوان: | Efficient Circuit Structure Analysis for Automatic Behavioral Model Generation in Mixed-Signal System Simulation |
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| المؤلفون: | Meng Jung Lee, Chien Nan Liu, Jing-Yang Jou, Yu Lan Lo, Yu Kang Lou, Ling Yen Song, Juinn Dar Huang, Ching Ho Lin |
| المصدر: | Electronics, Vol 10, Iss 1088, p 1088 (2021) Electronics Volume 10 Issue 9 |
| بيانات النشر: | MDPI AG, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | TK7800-8360, Computer Networks and Communications, Computer science, mixed-signal simulation, 02 engineering and technology, law.invention, behavioral model, law, Encoding (memory), 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Digital electronics, business.industry, 020208 electrical & electronic engineering, Mixed-signal integrated circuit, Partition (database), 020202 computer hardware & architecture, Behavioral modeling, Capacitor, Computer engineering, Hardware and Architecture, Control and Systems Engineering, Signal Processing, Netlist, Resistor, Electronics, business, model generator |
| الوصف: | For mixed-signal systems, identifying the analog and digital circuit blocks in the transistor-level netlist has many benefits for system analysis and verification. However, existing approaches still have difficulty handling large mixed-signal designs with millions of transistors, especially when multiple analog structure patterns are included. In this paper, we propose an efficient structure recognition methodology to support analyzing highly complex designs with various circuit structures and different devices. In order to tackle the complexity of real cases, a hierarchical partition-based analysis methodology and an encoding-based fast screening technique are proposed in this work. To correctly ascertain the boundary of analog and digital structures, we propose an enhanced direct current connection (DCC) partition method and combine it with the analog structure analysis flow. The non-transistor devices, such as resistors and capacitors, are also included in our recognition flow to improve the recognition capability and accuracy. As demonstrated with two industrial cases, the behavioral models generated from the structure recognition results do help to improve the efficiency of the AMS system verification. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2079-9292 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b420c275f797d651ad92877a579f7c2 https://www.mdpi.com/2079-9292/10/9/1088 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....4b420c275f797d651ad92877a579f7c2 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20799292 |
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