mlsanityData to 7 Oct 2026

IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA

arXiv 2407.12576 ↗First posted 17 Jul 2024cs.AR cs.AIcited by 1

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Abstract (arXiv)

Open-source EDA tools are rapidly advancing, fostering collaboration, innovation, and knowledge sharing within the EDA community. However, the growing complexity of these tools, characterized by numerous design parameters and heuristics, poses a significant barrier to their widespread adoption. This complexity is particularly pronounced in integrated circuit (IC) backend designs, which place substantial demands on engineers' expertise in EDA tools. To tackle this challenge, we introduce IICPilot, an intelligent IC backend design system based on LLM technology. IICPilot automates various backend design procedures, including script generation, EDA tool invocation, design space exploration of EDA parameters, container-based computing resource allocation, and exception management. By automating these tasks, IICPilot significantly lowers the barrier to entry for open-source EDA tools. Specifically, IICPilot utilizes LangChain's multi-agent framework to efficiently handle distinct design tasks, enabling flexible enhancements independently. Moreover, IICPilot separates the backend design workflow from specific open-source EDA tools through a unified EDA calling interface. This approach allows seamless integration with different open-source EDA tools like OpenROAD and iEDA, streamlining the backend design and optimization across the EDA tools.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 18 of its 34 references that are in the map. First posted on arXiv 17 Jul 2024.

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18 of 34 references.

References · 18

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  2. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
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  11. 2022Benchmarking Large Language Models for Automated Verilog RTL Code Generationcited by 112
  12. 2023AutoChip: Automating HDL Generation Using LLM Feedbackcited by 80
6 more
  1. 2023LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automationcited by 40
  2. 2024Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correctioncited by 39
  3. 2018Practical Design Space Explorationcited by 35
  4. 2024HDLdebugger: Streamlining HDL debugging with Large Language Modelscited by 25
  5. 2023iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Librarycited by 7
  6. 2021Characterizing and Optimizing EDA Flows for the Cloudcited by 1

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