FSMoE co-schedules intra-node and inter-node communication with expert computation and adaptively partitions gradients, achieving 1.18x-1.22x speedups over Tutel and up to 3.01x over DeepSpeed-MoE in MoE training.
https://developer.nvidia.com/blog/doubling-all2all- performance-with-nvidia-collective-communication-library-2-12/
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FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models
FSMoE co-schedules intra-node and inter-node communication with expert computation and adaptively partitions gradients, achieving 1.18x-1.22x speedups over Tutel and up to 3.01x over DeepSpeed-MoE in MoE training.