# engine.solver.NetworkRooflineModel { #mlsysim.engine.solver.NetworkRooflineModel }

```python
engine.solver.NetworkRooflineModel()
```

Analyzes the Distributed Performance Bounds (The Network Wall).

This model elevates the single-node Roofline analysis to the fleet scale.
It calculates the Communication Intensity (CI) of a workload and identifies
if the fleet is Compute-Bound (Wall 1) or Network-Bound (Wall 2).

Literature Source:
1. Reddi et al. (2025), "Machine Learning Systems," Volume 2, Chapter 1.
2. Williams et al. (2009), "Roofline Model." (Theoretical basis)
3. Ghose et al. (2019), "A Survey of Communication-Efficient Distributed
   Training."

## Methods

| Name | Description |
| --- | --- |
| [solve](#mlsysim.engine.solver.NetworkRooflineModel.solve) | Solves for the distributed performance bound. |

### solve { #mlsysim.engine.solver.NetworkRooflineModel.solve }

```python
engine.solver.NetworkRooflineModel.solve(
    model,
    fleet,
    precision='fp16',
    efficiency=0.5,
)
```

Solves for the distributed performance bound.
