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A Unified View of Long-Sequence Models towards Modeling Million-Scale Dependencies
Paper • 2302.06218 • Published • 1 -
ZeRO++: Extremely Efficient Collective Communication for Giant Model Training
Paper • 2306.10209 • Published • 2 -
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System
Paper • 2205.10034 • Published • 1 -
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training
Paper • 2303.06318 • Published • 2
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A Unified View of Long-Sequence Models towards Modeling Million-Scale Dependencies
Paper • 2302.06218 • Published • 1 -
ZeRO++: Extremely Efficient Collective Communication for Giant Model Training
Paper • 2306.10209 • Published • 2 -
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System
Paper • 2205.10034 • Published • 1 -
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training
Paper • 2303.06318 • Published • 2