EdgeOpt-Sched: A Dynamic GNN and RL Scheduler for DNN Acceleration on Edge Devices

Q: What type of study is this?

This is a Experimental Study study.

Xuan Jiang; Xuguo Wang

doi:10.1142/s0218194025500640

September 26, 2025International Journal of Software Engineering and Knowledge Engineering

EdgeOpt-Sched: A Dynamic GNN and RL Scheduler for DNN Acceleration on Edge Devices

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Key Points

EdgeOpt-Sched enhances DNN acceleration on edge devices using dynamic scheduling techniques.
Results show significant improvements in resource utilization and processing speed for DNN tasks.
The approach utilizes a combination of graph neural networks and reinforcement learning techniques.
These advancements may transform computational strategies for efficient edge device operations.

Implication

Proposed EdgeOpt-Sched improves DNN performance on edge devices, suggesting efficient resource use through GNN and RL.

Abstract

International Journal of Software Engineering and Knowledge EngineeringAccepted Papers No AccessEdgeOpt-Sched: A Dynamic GNN and RL Scheduler for DNN Acceleration on Edge DevicesXuan Jiang and Xuguo WangXuan Jiang and Xuguo Wanghttps://orcid.org/0000-0003-3182-9877 Search for more papers by this author https://doi.org/10.1142/S0218194025500640Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 15 July 2025 Accepted 22 September 2025 PDF download

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Cite This Study

Jiang et al. (2025) studied this question.

synapsesocial.com/papers/68d90a0641e1c178a14f6238 https://doi.org/10.1142/s0218194025500640

View Full Paper

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EdgeOpt-Sched: A Dynamic GNN and RL Scheduler for DNN Acceleration on Edge Devices

Key Points

Implication

Abstract

Discussion

Cite This Study

EdgeOpt-Sched: A Dynamic GNN and RL Scheduler for DNN Acceleration on Edge Devices

Key Points

Implication

Abstract

Discussion

Cite This Study

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