Author

Yongjia Xu

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Conference Jul 2026

Dispelling the Cloud Mist: Predicting the Performance of Cloud LLMs with a Random Forest Method Fusing Multi-Dimensional Features

With the explosive development of LLM-empowered agent technology, LLM inference performance has become more important than training. Cloud computing is a popular deployment approach, where performance prediction is vital for instance selection and QoS assurance. However, prediction is challenging due to GPU hardware he...

Huan Zhou, Zhi-Peng Wang, Meng-Juan Li et al. · Fall Joint Computer Conferen... · 0 citations

Preprint Jul 2026

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation

Hawk is a training-free framework that harnesses hardware-aware knowledge through three core modules that elevates generation accuracy from 49.4% to 80.0%, while achieving up to a 2.2x execution speedup over state-of-the-art baselines.

Junyi Wen, Ruiyan Zhuang, Yongjia Xu et al. · 0 citations