abstraction

Models Before RTL

2026 · 6 min read

The classical modeling flow has a quiet assumption baked in: first there is RTL, and then there is a model of the RTL. New silicon roadmaps are breaking that assumption — and with it, most of the standard answers for how you trust a model.

When a new interconnect standard publishes, the customer teams who adopt it face a sequencing problem. Firmware needs a platform months before the first RTL drop of the new block stabilizes. Architecture teams need to evaluate the protocol before committing to silicon choices. Everyone needs a model — and the golden reference implementation the whole verification ecosystem assumes doesn't exist yet.

The correlation vacuum

The textbook answer to "is this model right?" is: correlate it against RTL. What do you correlate against when the RTL hasn't been written? This is not an edge case anymore. It's the schedule.

The failure mode is predictable: teams fall back on correlating against themselves. The model is tested by the same understanding that built it, passes, and ships. The comfort of that green checkmark is exactly proportional to how little it proves.

Building pillars instead of a mirror

The way out is not a cleverer model. It's refusing to have a single point of derivation. You need multiple independent reasons to believe, each of which can fail without the others:

What the RTL owes the model

Here's the part nobody schedules for: when the RTL finally lands, the model's job changes. The model was the only game in town for months — firmware bring-up, architecture analysis, maybe a found bug or two in the spec itself, all before the first line of implementation existed. Now it becomes the reference the RTL is judged against.

Teams that have lived this once describe the same reversal: correlation stops being "does the model match the RTL" and becomes "when they disagree, which one is wrong?" A model built from the spec — with its ambiguities surfaced as questions, not buried as guesses — is the only artifact in the building that can even ask that question honestly.

The old flow used models to shadow implementation. The new flow uses implementation to audit models that earned their trust first. That inversion is not a small process change. It changes who finds the bugs, and how early, and at whose desk the question lands when silicon is late.

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