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39 lines
958 B
Plaintext
39 lines
958 B
Plaintext
# solvers.ParallelismOptimizer { #mlsysim.solvers.ParallelismOptimizer }
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```python
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solvers.ParallelismOptimizer()
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```
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Searches for the optimal 3D/4D parallelism split (DP, TP, PP, EP).
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Given a model architecture and a cluster size, this optimizer sweeps
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the integer design space of parallelism degrees to find the
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configuration that maximizes Model FLOPs Utilization (MFU).
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Literature Source:
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1. Narayanan et al. (2021), "Efficient Large-Scale Language Model
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Training on GPU Clusters Using Megatron-LM."
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## Methods
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| Name | Description |
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| --- | --- |
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| [solve](#mlsysim.solvers.ParallelismOptimizer.solve) | Searches for the optimal parallelism split. |
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### solve { #mlsysim.solvers.ParallelismOptimizer.solve }
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```python
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solvers.ParallelismOptimizer.solve(
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model,
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fleet,
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batch_size,
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precision='fp16',
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efficiency=0.5,
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max_tp=None,
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max_pp=None,
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overlap_comm=True,
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)
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```
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Searches for the optimal parallelism split.
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