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HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework.

, , , , , , и . Proc. VLDB Endow., 15 (2): 312-320 (2021)

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Xiaodan Miao

Jianmin Miao

Miao Zhang

Bingqi Miao

Jinsong Miao

 

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