Electronic Design Automation

Also known as EDA

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Overview

Electronic Design Automation (EDA) develops tools for turning hardware specifications into circuits, chip layouts, and printed circuit boards, then checking that designs work and meet constraints such as timing, power, area, and manufacturability. Traditional methods include logic synthesis, formal verification, physical-design heuristics, and circuit simulation; newer work adds graph neural networks, surrogate models, Bayesian optimization, and reinforcement learning to predict results or explore designs with fewer costly evaluations. Large language models are increasingly used to generate and repair RTL, create testbenches, and coordinate multi-step workflows with synthesis, simulation, and layout tools. A central challenge is ensuring that gains measured with proxies or on small benchmarks survive full tool flows and sign-off checks, especially for complex designs and long-running agent workflows.

Latest papers

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215 papers36 papers in the last four weeks, up 112% on the four weeks before. 0.2% of all new papers.

  1. Arch: An AI-Native Hardware Description Language for Register-Transfer Clocked Hardware Design

    Apr 7, 2026Shuqing ZhaoElectronic Design AutomationRTL Code Generation

  2. OmniSch: A Multimodal PCB Schematic Benchmark For Structured Diagram Visual Reasoning

    Mar 31, 2026Taiting Lu, Kaiyuan Lin, Yuxin Tian +13Spatial Reasoning BenchmarksMultimodal Model Evaluation

    Pennsylvania State University, USA · Independent Researcher · Shanghai Jiao Tong University, China +2

  3. From Physics to Surrogate Intelligence: A Unified Electro-Thermo-Optimization Framework for TSV Networks

    Mar 31, 2026Mohamed Gharib, Leonid Popryho, Inna Partin-VaisbandElectronic Design AutomationSurrogate Modeling

    Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607, USA

  4. ARCS: Autoregressive Circuit Synthesis with Topology-Aware Graph Attention and Spec Conditioning

    Mar 30, 2026Tushar Dhananjay PathakElectronic Design AutomationAutoregressive Generation

    New York University

  5. See it to Place it: Evolving Macro Placements with Vision-Language Models

    Mar 30, 2026Ikechukwu Uchendu, Swati Goel, Karly Hou +5Macro PlacementElectronic Design Automation

    Harvard University, Cambridge, MA, USA · Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, MA, USA · Google DeepMind

  6. GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph

    Mar 28, 2026Yuebo Luo, Shiyang Li, Yifei Feng +3Graph Neural NetworksMemory-Efficient Training

    University of Minnesota, Twin Cities Minneapolis, Minnesota, USA · New York University Brooklyn, New York, USA · Stevens Institute of Technology Hoboken, New Jersy, USA

  7. Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?

    Mar 26, 2026Abhishek Bhandwaldar, Mihir Choudhury, Ruchir Puri +1Electronic Design AutomationMulti-Agent Coding

    IBM Corporation

  8. FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA

    Mar 26, 2026Zhengrui Chen, Zixuan Song, Yu Li +2Electronic Design AutomationLLM Agent Harnesses

    Zhejiang University, Hangzhou, China

  9. Can an Actor-Critic Optimization Framework Improve Analog Design?

    Mar 25, 2026Sounak Dutta, Fin Amin, Sushil Panda +3Analog Circuit SizingElectronic Design Automation

    North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, North Carolina, USA

  10. KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits

    Mar 25, 2026Peng Xu, Yapeng Li, Tinghuan Chen +2Representation LearningGraph Representation Learning

    Department of Computer Science & Engineering, The Chinese University of Hong Kong · School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen)

  11. AnalogAgent: Self-Improving Analog Circuit Design Automation with LLM Agents

    Mar 25, 2026Zhixuan Bao, Zhuoyi Lin, Jiageng Wang +5Electronic Design AutomationLLM Agent Self-Improvement

    Nanyang Technological University Singapore · Institute for Infocomm Research Singapore · Institute of Microelectronics Singapore +2

  12. Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis

    Mar 24, 2026Mohyeu Hussain, David Koblah, Reiner Dizon-Paradis +1Electronic Design AutomationCausal Interpretability

    University of Florida

  13. Exploring the Agentic Frontier of Verilog Code Generation

    Mar 19, 2026Patrick Yubeaton, Siddharth Garg, Chinmay HegdeCode GenerationAgentic Code Generation

    New York University, Tandon School of Engineering, Brooklyn, NY

  14. VeriAgent: A Tool-Integrated Multi-Agent System with Evolving Memory for PPA-Aware RTL Code Generation

    Mar 18, 2026Yaoxiang Wang, Qi Shi, ShangZhan Li +6RTL Code GenerationElectronic Design Automation

    Xiamen University · Tsinghua University · Harbin Institute of Technology

  15. GUIDE: GenAI Units In Digital Design Education

    Mar 18, 2026Weihua Xiao, Jason Blocklove, Matthew DeLorenzo +6Computer Science EducationGenerative AI in Education

    ∗NYU Tandon, USA · §Texas A&M, USA · †NYU Abu Dhabi, UAE +1

  16. SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization

    Mar 17, 2026Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi +5Electronic Design AutomationLLM-Based Program Synthesis

    IBM Research, San Jose, CA, USA

  17. CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization

    Mar 17, 2026Che-Ming Chang, Prashanth Vijayaraghavan, Ashutosh Jadhav +4Electronic Design AutomationRTL Code Generation

    National Taiwan University · IBM Research

  18. ODIN-Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation

    Mar 17, 2026Nij Dorairaj, Debabrata Chatterjee, Hong Wang +8Electronic Design Automation

    Intel Corporation · Intel Corporation/Nvidia Corp · Synopsys Inc

  19. DRCY: Agentic Hardware Design Reviews

    Mar 13, 2026Kyle Dumont, Nicholas Herbert, Hayder Tirmazi +1Electronic Design AutomationLLM Agents

    AllSpice Inc.

  20. OpenACMv2: An Accuracy-Constrained Co-Optimization Framework for Approximate DCiM

    Mar 13, 2026Yiqi Zhou, Yue Yuan, Yikai Wang +8Compute-in-MemoryApproximate Computing

    Nanjing University of Science and Technology, China · Shenzhen University, China · Beihang University, China +2

  21. VeriHGN: Heterogeneous Graph-Based Congestion Prediction for Chip Layout Verification

    Mar 10, 2026Runbang Hu, Bo Fang, Bingzhe Li +1Electronic Design AutomationHeterogeneous GNNs

    The University of Texas at Arlington, Arlington, Texas, USA · The University of Texas at Dallas, Dallas, Texas, USA

  22. Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL

    Mar 10, 2026Siyang Cai, Cangyuan Li, Haoyu Gao +3Representation LearningElectronic Design Automation

    School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, China · CICS, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China

  23. Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs

    Mar 9, 2026Chen Lu, Ke Xue, Chengrui Gao +5Automated Algorithm DiscoveryAutomated Heuristic Design

    National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · Huawei Noah’s Ark Lab, China

  24. ChatNeuroSim: An LLM Agent Framework for Automated Compute-in-Memory Accelerator Deployment and Optimization

    Mar 4, 2026Ming-Yen Lee, Shimeng YuCompute-in-MemoryElectronic Design Automation

    Georgia Institute of Technology, Atlanta, Georgia, USA

  25. SoberDSE: Sample-Efficient Design Space Exploration via Learning-Based Algorithm Selection

    Mar 1, 2026Lei Xu, Shanshan Wang, Chenglong XiaoElectronic Design AutomationAlgorithm Selection

    Department of Computer Science, Shantou University, Shantou, China

  26. RTLocating: Intent-aware RTL Localization for Hardware Design Iteration

    Feb 28, 2026Changwen Xing, Yanfeng Lu, Lei Qi +5Electronic Design Automation

    School of Integrated Circuits, Southeast University, Nanjing, China · National Center of Technology Innovation for EDA, Nanjing, China · School of Computer Science and Engineering, Southeast University, Nanjing, China +1

  27. Component Centric Placement Using Deep Reinforcement Learning

    Feb 26, 2026Kart Leong LimElectronic Design AutomationRL for Combinatorial Optimization

    Institute of Microelectronics (IME), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-02, Singapore 138634, Republic of Singapore

  28. EvolveGen: Algorithmic Level Hardware Model Checking Benchmark Generation through Reinforcement Learning

    Feb 26, 2026Guangyu Hu, Xiaofeng Zhou, Wei Zhang +1Synthetic Benchmark GenerationFormal Hardware Verification

    The Hong Kong University of Science and Technology · The Hong Kong University of Science and Technology (Guangzhou)

  29. CTS-Bench: Benchmarking Graph Coarsening Trade-offs for GNNs in Clock Tree Synthesis

    Feb 22, 2026Barsat Khadka, Kawsher Roxy, Md Rubel AhmedGraph CoarseningElectronic Design Automation

    The University of Southern Mississippi, Hattiesburg, Mississippi, USA · Intel Corporation, Hillsboro, Oregon, USA · Louisiana Tech University, Ruston, Louisiana, USA

  30. Alpha-RF: Automated RF-Filter-Circuit Design with Neural Simulator and Reinforcement Learning

    Feb 18, 2026Nhat Tran, Chenjie Hao, Alexander Stameroff +2Electronic Design AutomationNeural Surrogate Modeling

    University of California, Davis · Keysight Technologies, Inc.