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cs.DC2025★ 1 cited
Efficient and Adaptable Overlapping for Computation and Communication via Signaling and Reordering
Ke Hong, Xiuhong Li, Minxu Liu +9
Generative models have achieved remarkable success across various applications, driving the demand for multi-GPU computing. Inter-GPU communication becomes a bottleneck in multi-GP…
cs.DC2024
HETHUB: A Distributed Training System with Heterogeneous Cluster for Large-Scale Models
Si Xu, Zixiao Huang, Yan Zeng +11
Training large-scale models relies on a vast number of computing resources. For example, training the GPT-4 model (1.8 trillion parameters) requires 25000 A100 GPUs . It is a chall…