Author

Chun-Ming Hu

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Conference Open access Sep 2026

DeepShare: Assurance-Driven Deep Learning Job Scheduling for Multi-Tenant Clusters

DeepShare is a scheduler that uses a continuous tenant-assurance signal to coordinate these decisions at runtime to achieve a more advantageous utilization-QoS trade-off than optimizing quotas, scheduling, and resource sharing independently.

Jing-Hao Wang, Yi-Hang Zhou, Xiao Zhou et al. · IEEE International Conferenc... · 0 citations

Preprint Sep 2026

Latency-Aware Orchestration for Multi-Agent LLM Workflows on Heterogeneous GPUs

A prediction-guided runtime that uses workflow forecasts to construct and optimize a physical execution graph and reduces end-to-end makespan and overall p95 completion latency under burst arrivals by up to 36.8% and 25.8% over state-of-the-art workflow schedulers.

Jing-Hao Wang, Yi-Feng Zhang, Xiao Zhou et al. · 0 citations

Preprint Aug 2026

ElastiCo: Elastic Configuration and Interference-Aware Orchestration for GPU Clusters

ElastiCo is presented, an elastic co-location framework that enables training and inference workloads to safely share GPUs through three integrated mechanisms that decomposes the resulting multi-resource allocation problem into per-job configuration selection subproblems via dynamic per-resource shadow prices.

Jing-Hao Wang, Yi-Hang Zhou, Xiaoyang Sun et al. · 0 citations