Publications

Zhengxin Zhang, Dan Zhao, Xupeng Miao, Gabriele Oliaro, Qing Li, Yong Jiang, Zhihao Jia (2024). Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models. ACL 2024 Oral (Outstanding paper award).

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Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Zeyu Wang, Zhengxin Zhang, Rae Ying Yee Wong, Alan Zhu, Lijie Yang, Xiaoxiang Shi, Chunan Shi, Zhuoming Chen, Daiyaan Arfeen, Reyna Abhyankar, Zhihao Jia (2024). SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification. ASPLOS 2024.

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Xupeng Miao, Gabriele Oliaro, Xinhao Cheng, Mengdi Wu, Colin Unger, Zhihao Jia (2024). FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning. ArXiv 2024.

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Muyan Hu, Ashwin Venkatram, Shreyashri Biswas, Balamurugan Marimuthu, Bohan Hou, Gabriele Oliaro, Haojie Wang, Liyan Zheng, Xupeng Miao, Jidong Zhai, Zhihao Jia (2024). Optimal Kernel Orchestration for Tensor Programs with Korch. ASPLOS 2024.

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Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Hongyi Jin, Tianqi Chen, Zhihao Jia (2023). Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems. ArXiv 2023.

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Jonatan Langlet, Ran Ben Basat, Gabriele Oliaro, Michael Mitzenmacher, Minlan Yu, Gianni Antichi (2023). Direct Telemetry Access. SIGCOMM 2023.

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Gabriele Oliaro (2023). ExpertFlow: Enabling Low-Latency Asynchronous Inference for Mixture of Expert Models. Tsinghua MS Thesis.

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Jonatan Langlet, Ran Ben Basat, Sivaram Ramanathan, Gabriele Oliaro, Michael Mitzenmacher, Minlan Yu, Gianni Antichi (2021). Zero-CPU Collection with Direct Telemetry Access. HotNets 2021.

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Gabriele Oliaro (2021). A Probabilistic In-band network Telemetry CHeckER (PITCHER). Harvard BS Thesis.

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