LLMs in Digital EDA: A perspective on shifting roles from Generation to Orchestration
Electronic design automation (EDA) has advanced engineering productivity through successive generations of tooling that progressively automate synthesis, optimisation, and verification. Large language models (LLMs) extend this trajectory by enabling direct translation from design intent to hardware implementations. In most of the EDA literature, LLM-based solutions are typically assisting siloed design stages or tasks, however this obscured the drivers by which capability emerges and systems scale. In this Perspective, we instead define three hierarchical roles that reveal how capability accumulates: a Generator that produces design artifacts in a single pass, an Agent that refines output...
| Authors | Matthew Youngman, Cristian Sestito, Themis Prodromakis |
|---|---|
| Primary category | cs.AR |
| Published | 27 August 2026 |
| Last updated at source | 27 August 2026 |
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