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Awesome-AI-for-Chip-Design

chateda-ichip

A curated, community-maintained list of 329+ research papers and tools applying ML/LLMs across the entire chip design flow, from specification to silicon.

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21

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3

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License

CC0-1.0

Last updated

2026-06-30

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

Aggregates the rapidly growing field of AI for chip design with over 300 papers across 18 categories, providing a structured, up-to-date overview for researchers and practitioners.

Who it is for

  • Chip design and verification engineers
  • EDA and hardware researchers
  • ML/LLM practitioners interested in hardware
  • Students and academics in computer architecture

Use cases

  • Quickly discovering relevant papers for a specific chip-design stage (RTL, verification, physical design)
  • Tracking the latest AI/LLM techniques applied to hardware
  • Benchmarking RTL generation or assertion generation approaches
  • Exploring multi-agent frameworks for automated design and verification

Strengths

  • Comprehensive coverage of 329+ papers from 2023 to 2026
  • Clear categorization into 18 areas covering the full design flow
  • Community-maintained with active updates (PRs/issues encouraged)
  • Includes both front-end and back-end design, plus foundations and domains

Considerations

  • Subjective categorization and inclusion does not imply endorsement
  • No direct code or tool implementations included in the list
  • Large volume may overwhelm newcomers without guidance
  • Relies on community contributions for completeness and accuracy

README quick start

🧠⚡ Awesome AI for Chip Design

A curated, community-maintained list of ML/LLM research & tools across the chip-design flow — from specification to silicon.

Artificial intelligence — large language models in particular — is reshaping how chips are designed, verified, and optimized. This list tracks research and open tools that apply ML/LLMs across the chip-design flow: specification and high-level synthesis, RTL generation, verification and debug, logic and physical synthesis, PPA optimization, analog and mixed-signal, FPGA, testing, and hardware security — plus the foundation models, benchmarks, datasets, techniques, and multi-agent frameworks that underpin them.

Inclusion does not imply endorsement; categories are best-effort and subjective — please open an issue or PR to correct them.

📊 At a glance

📦 Papers🗂️ Categories📅 Span📝 Listed entries
329182023–2026403

📅 Papers by year

xychart-beta
    title "Papers by year"
    x-axis [2023, 2024, 2025, 2026]
    y-axis "count" 0 --> 160
    bar [15, 78, 149, 87]

🥧 Listed entries by category (top 9 + others)

pie title "Listed entries"
    "RTL Generation" : 93
    "Verification" : 62
    "Multi-Agent" : 49
    "Techniques" : 42
    "Foundation" : 22
    "Analog/MS" : 22
    "Benchmarks" : 19
    "Security" : 18
    "HLS" : 18
    "Others" : 58

Contents

Description

A curated, community-maintained list of ML/LLM research and tools for integrated-circuit design — across the full flow.

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