EDATracer: An Agentic Framework for Large-Scale EDA Artifact Analysis
Modern chip design relies on electronic design automation (EDA) tools that generate large, heterogeneous artifacts, including source files, scripts, logs, netlists, and reports. Analyzing these artifacts is critical for debugging, optimization, and design-flow understanding, but remains difficult because relevant evidence is often distributed across many artifact types and design stages. Although LLM agents show promise for EDA assistance, existing approaches lack public benchmarks for large-scale cross-artifact analysis and often struggle to ground reasoning in tool-generated evidence. We present EDATracer, an agentic framework for evidence-grounded EDA artifact analysis. EDATracer organ...
| Authors | Phat Tieu, Sayanti Jana, Matthew DeLorenzo et al. |
|---|---|
| Primary category | cs.AR |
| Published | 2 August 2026 |
| Last updated at source | 2 August 2026 |
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