# solvers.SingleNodeModel { #mlsysim.solvers.SingleNodeModel }

```python
solvers.SingleNodeModel()
```

Resolves single-node hardware Roofline bounds and feasibility.

This model handles the 'Iron Law' of machine learning systems,
calculating whether a model fits in memory and predicting its
throughput based on arithmetic intensity.

Literature Source: Williams et al. (2009), "Roofline: An Insightful Visual
Performance Model for Floating-Point Programs and Multicore Architectures."

## Methods

| Name | Description |
| --- | --- |
| [solve](#mlsysim.solvers.SingleNodeModel.solve) | Calculates the performance profile for a single hardware node. |

### solve { #mlsysim.solvers.SingleNodeModel.solve }

```python
solvers.SingleNodeModel.solve(
    model,
    hardware,
    batch_size=1,
    precision='fp16',
    efficiency=0.5,
    raise_errors=False,
    **kwargs,
)
```

Calculates the performance profile for a single hardware node.