CHIA introduces a framework for building and deploying agentic AI co-design flows as CHIA loops with tool nodes, reliability mechanisms, and five case-study demonstrations.
2025.SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron- Inspired Symbolic Reasoning
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
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RTLScout combines LLM-driven agentic RTL code optimization with synthesis and architecture sweeps to achieve 35% area and 45% delay reductions on a 16-bit IEEE-754 floating-point multiplier compared to baseline designs in ASAP7 technology.
COEVO unifies correctness and multi-objective PPA optimization in a single evolutionary loop for LLM RTL generation, reporting 97.5% and 94.5% Pass@1 on VerilogEval/RTLLM benchmarks plus best PPA on 43 of 49 designs.
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CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research
CHIA introduces a framework for building and deploying agentic AI co-design flows as CHIA loops with tool nodes, reliability mechanisms, and five case-study demonstrations.
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RTLScout: Joint Agentic Code and Synthesis Optimization for Efficient Digital Circuits
RTLScout combines LLM-driven agentic RTL code optimization with synthesis and architecture sweeps to achieve 35% area and 45% delay reductions on a 16-bit IEEE-754 floating-point multiplier compared to baseline designs in ASAP7 technology.