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HetPipe - Enabling Large DNN Training on Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism

HetPipe - Enabling Large DNN Training on Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism

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Conclusion

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HetPipe - Enabling Large DNN Training on Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism

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  1. 1 Introduction
  2. 2 Motivation Background
  3. 3 Single Virtual Occur
  4. 4 Evaluation
  5. 5 Partitioning
  6. 6 Equal Distribution
  7. 7 Hybrid Policy
  8. 8 Parameter Placement Policy
  9. 9 Local Placement Policy
  10. 10 Convergence
  11. 11 Conclusion

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