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NCCLZ: Compression-Enabled GPU Collectives with Decoupled Quantization and Entropy Coding

Wang, Jiamin et al.
arXiv (All) · Papers
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Collective communication is a major bottleneck for multi-node GPU workloads in scientific computing and distributed deep learning, especially when inter-node bandwidth is limited. Although NCCL provides optimized GPU-centric collectives, large messages can still dominate end-to-end performance. Exis
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