DeepTPI: Test Point Insertion with Deep Reinforcement Learning

Author:

Shi Zhengyuan1,Li Min1,Khan Sadaf1,Wang Liuzheng2,Wang Naixing2,Huang Yu2,Xu Qiang1

Affiliation:

1. The Chinese University of Hong Kong,Department of Computer Science and Engineering,Shatin,Hong Kong S.A.R.

2. HiSilicon Technologies Co., Ltd.,China

Publisher

IEEE

Reference45 articles.

1. Applying Neural Networks to Delay Fault Testing: Test Point Insertion and Random Circuit Training

2. Language models are few-shot learners;brown;Advances in neural information processing systems,2020

3. Test Point Insertion Using Artificial Neural Networks

4. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin;ArXiv Preprint,2018

5. Human-level control through deep reinforcement learning;mnih;Nature,2015

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1. Test Point Selection for Multi-Cycle Logic BIST using Multivariate Temporal-Spatial GCNs;2024 IEEE International Test Conference in Asia (ITC-Asia);2024-08-18

2. A Graph AutoEncoder Approach for Fault Prediction in Test Pattern Generation;2024 2nd International Symposium of Electronics Design Automation (ISEDA);2024-05-10

3. DeepGate2: Functionality-Aware Circuit Representation Learning;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

4. Test Point Selection Using Deep Graph Convolutional Networks and Advantage Actor Critic (A2C) Reinforcement Learning;2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2023-06-25

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