Circuit Connectivity Inspired Neural Network for Analog Mixed-Signal Functional Modeling

被引：8

作者：

Hassanpourghadi, Mohsen ^{[1
]}

Su, Shiyu ^{[1
]}

Rasul, Rezwan A. ^{[1
]}

Liu, Juzheng ^{[1
]}

Zhang, Qiaochu ^{[1
]}

Chen, Mike Shuo-Wei ^{[1
]}

机构：

[1] Univ Southern Calif, Dept Elect & Comp Engn, Los Angeles, CA 90007 USA

来源：

2021 58TH ACM/IEEE DESIGN AUTOMATION CONFERENCE (DAC) | 2021年

关键词：

Analog Mixed-Signal; Modeling; Computer Aided Design; Artificial Neural Network; Modular NN; circuit-connectivity-inspired NN;

D O I：

10.1109/DAC18074.2021.9586236

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Among different types of regression methods to model Analog/Mixed-Signal (AMS) circuits, the Artificial Neural Network (ANN) is a promising candidate due to its reasonable accuracy and fast evaluation. However, for complex AMS circuits with wide specification ranges, creating an ANN model requires a large training dataset. To reduce the required training dataset's volume, we have proposed a circuit-connectivity-inspired ANN (CCI-NN), including multiple sub-ANNs linked according to the actual circuit connections. For validation, we have employed CCI-NN to model a three-stage amplifier and a current-steering digital-to-analog converter. For a certain modeling accuracy, the training dataset requirement is reduced by 3.5x-7.6x.

引用

页码：505 / 510

页数：6

共 50 条

[21] Analog/mixed-signal and RF integrated circuit technologies for wireless communications
Zhao, B
2004: 7TH INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUITS TECHNOLOGY, VOLS 1- 3, PROCEEDINGS, 2004, : 1220 - 1225
[22] Stochastic Behavioral Modeling and Analysis for Analog/Mixed-Signal Circuits
Gong, Fang
Basir-Kazeruni, Sina
He, Lei
Yu, Hao
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2013, 32 (01) : 24 - 33
[23] Modeling and simulation of noise in analog/mixed-signal communication systems
Demir, A
Roychowdhury, J
PROCEEDINGS OF THE IEEE 1999 CUSTOM INTEGRATED CIRCUITS CONFERENCE, 1999, : 385 - 392
[24] WellGAN: Generative-Adversarial-Network-Guided Well Generation for Analog/Mixed-Signal Circuit Layout
Xu, Biying
Lin, Yibo
Tang, Xiyuan
Li, Shaolan
Shen, Linxiao
Sun, Nan
Pan, David Z.
PROCEEDINGS OF THE 2019 56TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2019,
[25] Mixed-Signal Computing for Deep Neural Network Inference
Murmann, Boris
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2021, 29 (01) : 3 - 13
[26] A Modular Mixed-Signal CVNS Neural Network Architecture
Saffar, Farinoush
Mirhassani, Mitra
Ahmadi, Majid
2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2015,
[27] An analog mixed-signal test controller
AbedEl-Halin, MA
2002 45TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL I, CONFERENCE PROCEEDINGS, 2002, : 384 - 387
[28] Analog and mixed-signal extensions to VHDL
Vachoux, A
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 1998, 16 (02) : 185 - 200
[29] THOUGHTS ON ANALOG AND MIXED-SIGNAL MODELS
WONG, J
ELECTRONIC DESIGN, 1992, 40 (23) : 48 - 48
[30] Analog and Mixed-Signal Extensions to VHDL
Alain Vachoux
Analog Integrated Circuits and Signal Processing, 1998, 16 : 185 - 200

← 1 2 3 4 5 →