A comprehensive survey on electronic design automation and graph neural networks: Theory and applications

D Sánchez, L Servadei, GN Kiprit, R Wille… - ACM Transactions on …, 2023 - dl.acm.org
Driven by Moore's law, the chip design complexity is steadily increasing. Electronic Design
Automation (EDA) has been able to cope with the challenging very large-scale integration …

Chateda: A large language model powered autonomous agent for eda

H Wu, Z He, X Zhang, X Yao, S Zheng… - … on Computer-Aided …, 2024 - ieeexplore.ieee.org
The integration of a complex set of Electronic Design Automation (EDA) tools to enhance
interoperability is a critical concern for circuit designers. Recent advancements in large …

Compiler Technologies in Deep Learning Co-Design: A Survey

H Zhang, M **ng, Y Wu, C Zhao - Intelligent Computing, 2023 - spj.science.org
With the rapid development of deep learning applications, general-purpose processors no
longer suffice for deep learning workloads because of the dying of Moore's Law. Thus …

Lithobench: Benchmarking ai computational lithography for semiconductor manufacturing

S Zheng, H Yang, B Zhu, B Yu… - Advances in Neural …, 2024 - proceedings.neurips.cc
Computational lithography provides algorithmic and mathematical support for resolution
enhancement in optical lithography, which is the critical step in semiconductor …

DevelSet: Deep neural level set for instant mask optimization

G Chen, Z Yu, H Liu, Y Ma, B Yu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As one of the key techniques for resolution enhancement technologies (RETs), optical
proximity correction (OPC) suffers from prohibitive computational costs as feature sizes …

Aurora: Automated refinement of coarse-grained reconfigurable accelerators

C Tan, C **e, A Li, KJ Barker… - 2021 Design, Automation …, 2021 - ieeexplore.ieee.org
Coarse-grained reconfigurable arrays (CGRAs), loosely defined as arrays of functional units
interconnected through a network-on-chip (NoC), provide higher flexibility than domain …

Generalizable cross-graph embedding for gnn-based congestion prediction

A Ghose, V Zhang, Y Zhang, D Li… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Presently with technology node scaling, an accurate prediction model at early design stages
can significantly reduce the design cycle. Especially during logic synthesis, predicting cell …

Preroutgnn for timing prediction with order preserving partition: Global circuit pre-training, local delay learning and attentional cell modeling

R Zhong, J Ye, Z Tang, S Kai, M Yuan, J Hao… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Pre-routing timing prediction has been recently studied for evaluating the quality of a
candidate cell placement in chip design. It involves directly estimating the timing metrics for …

Advancing placement

AB Kahng - Proceedings of the 2021 International Symposium on …, 2021 - dl.acm.org
Placement is central to IC physical design: it determines spatial embedding, and hence
parasitics and performance. From coarse-to fine-grain, placement is conjointly optimized …

Openabc-d: A large-scale dataset for machine learning guided integrated circuit synthesis

AB Chowdhury, B Tan, R Karri, S Garg - arxiv preprint arxiv:2110.11292, 2021 - arxiv.org
Logic synthesis is a challenging and widely-researched combinatorial optimization problem
during integrated circuit (IC) design. It transforms a high-level description of hardware in a …