Rethinking Streaming-Perception Evaluation on Heterogeneous Edge Platforms
Multi-camera streaming perception is increasingly deployed on heterogeneous edge platforms shared with co-resident workloads, yet accelerator placement is often evaluated using isolated single-stream experiments and mean streaming average precision (sAP). Using two end-to-end pipelines on a single GPU--NPU platform, we show that isolated evaluation can mis-rank deployment-time placement. Although the GPU pipeline is preferred in isolation, GPU-localized contention introduces deadline misses that make detections stale and can reverse the preferred placement before full GPU saturation. The NPU pipeline is less accurate than the GPU pipeline on small and medium objects in isolation, but near...
| Authors | Misun Yu, Jinyoung Moon, Jemin Lee |
|---|---|
| Primary category | cs.DC |
| Published | 4 October 2026 |
| Last updated at source | 4 October 2026 |
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