mlsanityData to 14 Oct 2026

SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design Generation

arXiv 2405.16072 ↗First posted 25 May 2024cs.AIcited by 6

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Abstract (arXiv)

In this paper, we introduce SynthAI, a new method for the automated creation of High-Level Synthesis (HLS) designs. SynthAI integrates ReAct agents, Chain-of-Thought (CoT) prompting, web search technologies, and the Retrieval-Augmented Generation (RAG) framework within a structured decision graph. This innovative approach enables the systematic decomposition of complex hardware design tasks into multiple stages and smaller, manageable modules. As a result, SynthAI produces synthesizable designs that closely adhere to user-specified design objectives and functional requirements. We further validate the capabilities of SynthAI through several case studies, highlighting its proficiency in generating complex, multi-module logic designs from a single initial prompt. The SynthAI code is provided via the following repo: urlhttps://github.com/sarashs/FPGAAGI

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 19 of its 29 references that are in the map. First posted on arXiv 25 May 2024.

Builds on

19 of 29 references.

References · 19

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  3. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,708
  4. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
  5. 2022Automatic Chain of Thought Prompting in Large Language Modelscited by 688
  6. 2023VerilogEval: Evaluating Large Language Models for Verilog Code Generationcited by 252
  7. 2024MapCoder: Multi-Agent Code Generation for Competitive Problem Solvingcited by 177
  8. 2022MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoningcited by 156
  9. 2023Chip-Chat: Challenges and Opportunities in Conversational Hardware Designcited by 140
  10. 2022Benchmarking Large Language Models for Automated Verilog RTL Code Generationcited by 115
  11. 2023ChipGPT: How far are we from natural language hardware designcited by 105
  12. 2024Embodied LLM Agents Learn to Cooperate in Organized Teamscited by 82
7 more
  1. 2024Learning to Use Tools via Cooperative and Interactive Agentscited by 54
  2. 2020DAVE: Deriving Automatically Verilog from Englishcited by 48
  3. 2023RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarioscited by 46
  4. 2023Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preferencecited by 38
  5. 2023Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligencecited by 26
  6. 2023The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platformscited by 20
  7. 2024LLM4SecHW: Leveraging Domain Specific Large Language Model for Hardware Debuggingcited by 18

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 5.

6 papers.

  1. 2025Revolution or Hype? Seeking the Limits of Large Models in Hardware Designcited by 9
  2. 2026Bench4HLS: End-to-End Evaluation of LLMs in High-Level Synthesis Code Generationcited by 2
  3. 2026HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learningcited by 1
  4. 2026Evidence-Driven LLM Agent for C-to-Synthesizable-C Conversion and Verificationcited by 1
  5. 2026Agentic Electronic Design Automation: A Handoff Perspectivecited by 0
  6. 2026An Executable Benchmark for LLM-Based HLS Repair:Design Complexity and Repair Underconstraintcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026From Pragmas to Partners: A Symbiotic Evolution of Agentic High-Level Synthesis
  2. 2026HLSFactory-Agent: Large-Scale Agentic HLS Dataset Construction from Academic and Open-Source Projects
  3. 2024Agentic-HLS: An agentic reasoning based high-level synthesis system using large language models (AI for EDA workshop 2024)
  4. 2026VeriGraphi: A Multi-Agent Framework of Hierarchical RTL Generation for Large Hardware Designs
  5. 2025Hey AI, Generate Me a Hardware Code! Agentic AI-based Hardware Design & Verification
  6. 2026Can Agents Design Better Chips with a Higher Level Abstraction?
  7. 2025Can Reasoning Models Reason about Hardware? An Agentic HLS Perspective
  8. 2025A Multi-Agent Generative AI Framework for IC Module-Level Verification Automation