HyperParallel: A SuperPoD-Aware Distributed Acceleration Library

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" summary

PyTorch-based library that optimizes distributed training for Ascend SuperPoD and demonstrates on a Huawei Atlas 800T cluster with a Qwen3-30B-A3B workload. Under identical configs HyperParallel’s FSDP2 + Muon pipeline reports substantially higher training throughput than stock PyTorch FSDP2 + Muon while keeping loss convergence curves the same. The demo shows a complete distributed training workflow with live throughput and loss visualizations, proving the software-level changes yield measurable speedups on the same hardware.

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