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TrainBridge: Agentic NPU Training Optimization Guided by GPU Compilation Evidence
We study how to improve training efficiency on Ascend NPUs. In the NPU training programs we study, framework-level compilation optimizations such as operator fusion are only partially applied, leaving fragmented computation and avoidable execution overheads. Profiling-guided tuning can address these
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