A conventional compiler lowers one representation to another and stops. SC-NeuroCore's does that — and then reasons about the result: it recommends a hardware target from your constraints, classifies how hard the model is, checks that its equations are stable, plans how to split it across devices, scores the supply-chain risk, estimates heat and carbon, and emits the provenance and compliance evidence. Dozens of design-time analyses, from the same pass that generates the RTL.
Start from constraints, not a chip. Give the compiler a power budget, a clock floor and a datapath width, and it ranks the targets that fit — the same idea as its recommend_target() call. Adjust the sliders and watch the recommendation change.
Illustrative, with representative target envelopes; the real recommender scores against the full hardware-profile database and also weighs cost and supply-chain risk. Targets that miss a constraint are shown with the reason, not hidden.
Before generating anything, the compiler can tell you where the design belongs: an auto-target recommender ranks hardware by your constraints, a model-complexity classifier sizes the problem, a supply-chain risk scorer flags geopolitical, sole-source and ITAR exposure per target, and a portability scorer says how easily the model moves between them.
The compiler screens the design for the ways it can go wrong. An ODE-stability verifier checks that a neuron's equations will not blow up in fixed point; a formal-equivalence sketch relates the generated RTL to the model; a clock-domain-crossing analyzer, a fault-tree generator and an auto-testbench cover the hardware hazards; and a regression watchdog guards against silent drift between builds.
It also plans the physics. A thermal-envelope estimator predicts junction temperature, a power-intent generator emits the UPF the back-end needs, a memory-map and a multi-die floorplanner place the design, a partial-reconfiguration planner stages it, and a heterogeneous-dispatch planner decides which parts run on which fabric.
Finally it produces the paperwork a serious deployment needs: a provenance chain tying the artefact back to its source, a compliance matrix and a license-compliance checker, an energy and carbon schedule, a side-channel lint, and a drift compensator that corrects for how a physical device ages away from its calibration.
These are not separate tools bolted together — they are analyses over the same intermediate representation the compiler already builds to generate hardware. Several of them are the engines behind other pages here: the carbon estimate, the security lint, the NIR import and the thermal envelope all live in this layer. What ties them together is a stance: the compiler should hand you a decision with its evidence, not just a netlist.
These are design-time analyses and recommendations — advisory outputs to inform a decision, each with its own evidence boundary, not a substitute for target-specific validation and sign-off.