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Pipeline-Parallelism: Distributed Training via Model Partitioning

siboehm.com · published 3 October 2022

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https://huggingface.co/bigscience/bloom
huggingface.co
https://arxiv.org/pdf/1811.06965.pdf
arxiv.org
https://arxiv.org/abs/1708.03888v3
arxiv.org
https://arxiv.org/abs/1904.00962v5
arxiv.org
https://arxiv.org/abs/1604.06174v2
arxiv.org
https://github.com/cybertronai/gradient-checkpointing
github.com
https://arxiv.org/abs/1806.03377
arxiv.org
https://arxiv.org/abs/2104.04473
arxiv.org
https://mpitutorial.com/tutorials/introduction-to-groups-and-communicators/
mpitutorial.com
https://github.com/siboehm/shallowspeed
github.com
https://github.com/microsoft/DeepSpeed
github.com
https://pytorch.org/docs/stable/pipeline.html
pytorch.org
https://wiki.python.org/moin/Generators
wiki.python.org
https://cs.stanford.edu/~matei/papers/2019/sosp_pipedream.pdf
cs.stanford.edu
How to Train Really Large Models on Many GPUs? Read at the source ↗
lilianweng.github.io
The Technology Behind BLOOM Training Read at the source ↗
huggingface.co
https://en.wikipedia.org/wiki/100_Gigabit_Ethernet
en.wikipedia.org
https://en.wikipedia.org/wiki/InfiniBand
en.wikipedia.org
https://en.wikipedia.org/wiki/PCI_Express
en.wikipedia.org
https://en.wikipedia.org/wiki/NVLink
en.wikipedia.org