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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Shuo Si

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Open access Oct 2026

DPSM: Fine-Grained GPU Resource Management via Kernel Interception and TPC Control

Modern deep learning workloads are increasingly co-located on a single GPU to improve hardware utilization, yet existing MPS-based sharing mechanisms expose concurrency without providing QoS-aware control. Deadline-constrained training jobs can suffer severe slowdown when co-executed with best-effort workloads, because...

De-Sheng Wang, Fu-Zhen Yong, Si-Chao Chen et al. · 0 citations
Open access Jun 2026

Parallax: Performance Prediction for Training–Inference Co-Execution

Parallax is presented, a fine-grained and accurate performance prediction framework tailored for training–inference co-execution and introduces interpretable modeling strategies for the two primary GPU sharing paradigms.

Zesen Hu, Desheng Wang, Sichao Chen et al. · 0 citations

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