# solvers.SynthesisSolver { #mlsysim.solvers.SynthesisSolver }

```python
solvers.SynthesisSolver()
```

Given an SLA, synthesizes the required hardware specs (Wall 22: Inverse Solve).

This solver inverts the Roofline model to derive minimum hardware
specifications required to meet a target latency SLA.

Literature Source:
1. Williams et al. (2009), "Roofline Model."
2. Jouppi et al. (2017), "In-Datacenter Performance Analysis of a TPU."

## Methods

| Name | Description |
| --- | --- |
| [solve](#mlsysim.solvers.SynthesisSolver.solve) | Synthesizes hardware requirements from an SLA target. |

### solve { #mlsysim.solvers.SynthesisSolver.solve }

```python
solvers.SynthesisSolver.solve(
    model,
    target_latency,
    precision='fp16',
    efficiency=0.5,
)
```

Synthesizes hardware requirements from an SLA target.