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papersTODAY 04:00 UTC

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.

arXiv GPU-CPU co-execution heterogeneous computing mobile inference operator partitioning partition-aware scheduling

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arXiv cs.LGPartition-Aware Scheduling for Mobile Heterogeneous Inference Co-Execution ↗TODAY 04:00 UTC