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Paper Proposes Partition-Aware Scheduling for Mobile Heterogeneous Inference
A new arXiv paper addresses how mobile inference can be split across a GPU and multiple CPU core clusters on heterogeneous chips. Rather than assigning whole operators to one processor, the approach partitions work in a way that accounts for the characteristics of each partition. The authors argue this improves co-execution efficiency on mobile hardware.