MERIS: Adaptive Real-Time Scheduling of Refined Inference DAGs in Dynamic Robotic Environments
MERIS: Adaptive Real-Time Scheduling of Refined Inference DAGs in Dynamic Robotic Environments
This research introduces MERIS, a framework for scheduling directed-acyclic-graph (DAG) workloads on resource-constrained robotic platforms under real-time constraints.
The paper proposes MERIS, a scheduling framework for multi-task inference on resource-constrained robotic platforms that combines proportional intermediate deadlines and event-driven synchronization; experiments are reported on Nano Orin, AGX Orin, and M3 Max hardware under dynamic DAG workloads.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Source：arXiv Robotics — research abstracts · arxiv.org