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Hetu: a highly efficient automatic parallel distributed deep learning system., , , , and . Sci. China Inf. Sci., (January 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)SpotServe: Serving Generative Large Language Models on Preemptible Instances., , , , , , and . ASPLOS (2), page 1112-1127. ACM, (2024)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)Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems., , , , , , and . CoRR, (2023)Model-enhanced Vector Index., , , , , , , , , and 9 other author(s). NeurIPS, (2023)CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs., , , , , , and . IEEE Trans. Knowl. Data Eng., 34 (9): 4119-4132 (2022)Scalable Graph Sampling on GPUs with Compressed Graph., , , , and . CIKM, page 2383-2392. ACM, (2022)TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting., , , and . ICDE, page 2615-2628. IEEE, (2022)