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37 lines
944 B
Plaintext
37 lines
944 B
Plaintext
# solvers.SingleNodeModel { #mlsysim.solvers.SingleNodeModel }
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```python
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solvers.SingleNodeModel()
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```
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Resolves single-node hardware Roofline bounds and feasibility.
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This model handles the 'Iron Law' of machine learning systems,
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calculating whether a model fits in memory and predicting its
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throughput based on arithmetic intensity.
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Literature Source: Williams et al. (2009), "Roofline: An Insightful Visual
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Performance Model for Floating-Point Programs and Multicore Architectures."
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## Methods
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| Name | Description |
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| --- | --- |
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| [solve](#mlsysim.solvers.SingleNodeModel.solve) | Calculates the performance profile for a single hardware node. |
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### solve { #mlsysim.solvers.SingleNodeModel.solve }
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```python
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solvers.SingleNodeModel.solve(
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model,
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hardware,
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batch_size=1,
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precision='fp16',
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efficiency=0.5,
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raise_errors=False,
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**kwargs,
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)
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```
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Calculates the performance profile for a single hardware node.
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