CHIA is a distributed graph-based framework for composing, deploying, and verifying agentic AI hardware/software co-design flows, demonstrated on RTL, simulation, and compiler tasks.
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2 Pith papers cite this work. Polarity classification is still indexing.
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cs.AR 2years
2026 2verdicts
CONDITIONAL 2representative citing papers
PostEDA-Bench, a 145-task benchmark with machine-checkable evaluation, shows LLM agents reliably handle synthetic DRC fixes and single-objective PPA tuning but collapse on realistic DRC reasoning (best 36.7% SR) and multi-objective PPA (best 20.0% SR).
citing papers explorer
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CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research
CHIA is a distributed graph-based framework for composing, deploying, and verifying agentic AI hardware/software co-design flows, demonstrated on RTL, simulation, and compiler tasks.
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Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing
PostEDA-Bench, a 145-task benchmark with machine-checkable evaluation, shows LLM agents reliably handle synthetic DRC fixes and single-objective PPA tuning but collapse on realistic DRC reasoning (best 36.7% SR) and multi-objective PPA (best 20.0% SR).