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Hetu: a highly efficient automatic parallel distributed deep learning system., , , , and . Sci. China Inf. Sci., (January 2023)Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture., , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (2): 1721-1733 (2023)Model-enhanced Vector Index., , , , , , , , , and 9 other author(s). CoRR, (2023)FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning., , , , , and . CoRR, (2024)Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems., , , , , , and . CoRR, (2023)CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract)., , , , , , and . ICDE, page 2330-2331. IEEE, (2021)CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention., , , , , , and . AAAI, page 746-754. AAAI Press, (2023)SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification., , , , , , , , , and 5 other author(s). ASPLOS (3), page 932-949. ACM, (2024)SpotServe: Serving Generative Large Language Models on Preemptible Instances., , , , , , and . ASPLOS (2), page 1112-1127. ACM, (2024)HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework., , , , , , and . Proc. VLDB Endow., 15 (2): 312-320 (2021)