Author

Yizhou Shan

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#machine learning Apr 2026

Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation

Tessera is presented, the first kernel disaggregation system to improve performance and cost efficiency on heterogeneous GPUs for large model inference, and shows that a heterogeneous GPU pair under Tessera can even exceed the throughput of two homogeneous high-end GPUs at a lower cost.

Tian-Cheng Hu, Jin Qin, Zheng Wang et al. · arXiv.org · 0 citations

Preprint Aug 2026

From LLM Inference to Agentic Workloads: Characterization and Implications for Serving Systems

This work presents AgentSysBench, a benchmark suite and measurement toolkit with ten representative agentic applications and unified systems-level instrumentation, and identifies six properties that distinguish agentic workloads from conventional LLM serving.

Chaokun Chang, Yu-Kun Zhou, Kai-Hua Fu et al. · 11 citations