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Data Parallelism (DP) during training does not meet expectation (only 3 processes are working, should be FOUR), I will optimize it after ICML deadline. about fednlp HOT 2 CLOSED

fedml-ai avatar fedml-ai commented on August 15, 2024
Data Parallelism (DP) during training does not meet expectation (only 3 processes are working, should be FOUR), I will optimize it after ICML deadline.

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Comments (2)

yuchenlin avatar yuchenlin commented on August 15, 2024

Could you add more details? Which part of the code is corresponding to the DP here?

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chaoyanghe avatar chaoyanghe commented on August 15, 2024

No worries, this is a framework level issue, I will move it to FedML project.

DP in FL is equal to parallel training in multiple GPUs. I think the issue happens when we assign multiple processes in a single GPU. FedML will collaborate with PyTorch team to systematicallly optimize this contention issue in CUDA primitive level and also check if some implemention in Python code should be adjusted.

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