Author

Jin Qin

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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

Jul 2026

StrataCL: Fabric-Native Communication Library for Production Supernodes

StrataCL introduces registration-on-allocation to realize user-buffer direct communication, and designs communication operators with workload-balanced NPU-core partitioning and NPU-driven SDMA offloading to exploit supernode architecture features.

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