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
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
This work presents SpecBox, a runtime built around speculative sandbox preallocation tailored for dynamic LLM agent execution pipelines, and implements keyword matching and streaming semantic embedding to enable intent-driven sandbox prewarming, which identifies pending tool execution demands mid-LLM token generation a...
Yi-Hui Zhang, Tian-Yu Wo, Jing-Hao Wang et al.· arXiv.org· 1 citation
A hierarchical search-space planning framework for GPU kernel optimization that delivers stronger overall implementation validity, sample efficiency, and optimization performance than existing training-free methods, while remaining competitive with the training-based CUDA-L1 without additional model training is propose...
Jing-Hao Wang, Qiqi Gu, Chenpeng Wu et al.· 0 citations
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
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