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Qiang Wang

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Book Open access Sep 2026

WAQ-LLM: Optimizing Multi-Instance LLM Deployment via Workload-Aware Queueing Model

WAQ-LLM is proposed, a performance optimization framework to find the optimal deployment configuration for multi-instance LLM serving that can provide adaptive and hybrid configurations to handle diverse workloads, surpassing static deployments limited to a single instance type.

Jia-Xin Lai, Yi-Zhou Luo, Qiang Wang · 0 citations
#large language models Book Open access Sep 2026

WAQ-LLM: Optimizing Multi-Instance LLM Deployment via Workload-Aware Queueing Model

WAQ-LLM is proposed, a performance optimization framework to find the optimal deployment configuration for multi-instance LLM serving that can provide adaptive and hybrid configurations to handle diverse workloads, surpassing static deployments limited to a single instance type.

Jia-Xin Lai, Yi-Zhou Luo, Qiang Wang · 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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