✨EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization
📝 Summary:
EvolVE improves LLM-based Verilog generation and optimization through evolutionary search. It uses MCTS for correctness and IGR for optimization, accelerated by STG. EvolVE achieves state-of-the-art performance and reduces PPA on industry-scale designs.
🔹 Publication Date: Published on Jan 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.18067
• PDF: https://arxiv.org/pdf/2601.18067
• Github: https://github.com/weiber2002/ICRTL
✨ Datasets citing this paper:
• https://huggingface.co/datasets/weiber2002/ICRTL
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#LLM #Verilog #EvolutionaryAlgorithms #HardwareDesign #AI
📝 Summary:
EvolVE improves LLM-based Verilog generation and optimization through evolutionary search. It uses MCTS for correctness and IGR for optimization, accelerated by STG. EvolVE achieves state-of-the-art performance and reduces PPA on industry-scale designs.
🔹 Publication Date: Published on Jan 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.18067
• PDF: https://arxiv.org/pdf/2601.18067
• Github: https://github.com/weiber2002/ICRTL
✨ Datasets citing this paper:
• https://huggingface.co/datasets/weiber2002/ICRTL
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#LLM #Verilog #EvolutionaryAlgorithms #HardwareDesign #AI
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