Distributed Training Papers and resources related to distributed training. PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel Paper • 2304.11277 • Published Apr 21, 2023 • 2 Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Paper • 1909.08053 • Published Sep 17, 2019 • 3 Reducing Activation Recomputation in Large Transformer Models Paper • 2205.05198 • Published May 10, 2022 GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism Paper • 1811.06965 • Published Nov 16, 2018 • 1
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel Paper • 2304.11277 • Published Apr 21, 2023 • 2
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Paper • 1909.08053 • Published Sep 17, 2019 • 3
Reducing Activation Recomputation in Large Transformer Models Paper • 2205.05198 • Published May 10, 2022
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism Paper • 1811.06965 • Published Nov 16, 2018 • 1
Distributed Training Papers and resources related to distributed training. PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel Paper • 2304.11277 • Published Apr 21, 2023 • 2 Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Paper • 1909.08053 • Published Sep 17, 2019 • 3 Reducing Activation Recomputation in Large Transformer Models Paper • 2205.05198 • Published May 10, 2022 GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism Paper • 1811.06965 • Published Nov 16, 2018 • 1
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel Paper • 2304.11277 • Published Apr 21, 2023 • 2
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Paper • 1909.08053 • Published Sep 17, 2019 • 3
Reducing Activation Recomputation in Large Transformer Models Paper • 2205.05198 • Published May 10, 2022
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism Paper • 1811.06965 • Published Nov 16, 2018 • 1
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