Aug 12, 2024 · We present AutoPipe, a self-adaptive pipeline parallelism optimization solution. At its core, AutoPipe introduces a reinforcement learning (RL) based work ...
AutoPipe introduces a reinforcement learning (RL) based work partitioning model, which takes into account both exact communication procedure and dynamic state ...
Aug 25, 2024 · Publications. Lightweight Automatic ECN Tuning ... AutoPipe: Automatic Configuration of Pipeline Parallelism on Shared GPU Cluster [pdf]
This parallelism mode concerns the model division strategy focusing on workload balance and the submodel placement strategy focusing on communication ...
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AutoPipe: Automatic Configuration of Pipeline Parallelism in Shared GPU Cluster. J Hu, Y Liu, H Wang, J Wang. Proceedings of the 53rd International Conference ...
AutoPipe: Automatic Configuration of Pipeline Parallelism in Shared GPU Cluster. J Hu, Y Liu, H Wang, J Wang. Proceedings of the 53rd International Conference ...
Aug 18, 2021 · As AutoPipe compresses the same pipeline into fewer GPUs, AutoDP can automatically spawn new pipeline replicas to increase data-parallel width.
AutoPipe: Automatic Configuration of Pipeline Parallelism in Shared GPU Cluster. Conference Paper. Aug 2024. Jinbin Hu · Ying Liu · Hao Wang · Jin Wang · View.
AutoPipe is an elastic pipeline module that speeds up training by excluding frozen layers from the pipeline and packing the active layers into fewer GPUs (pink) ...
Jun 12, 2024 · 2.2 Distributed DL Parallelism Modes. Distributed DL partitions data and models into multiple processing units (typically GPUs) for parallel ...