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Contracting Wide-area Network Topologies to Solve Flow Problems Quickly., , , , , и . NSDI, стр. 175-200. USENIX Association, (2021)Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark., , , , , , , , , и . ACM SIGOPS Oper. Syst. Rev., 53 (1): 14-25 (2019)Accelerating Approximate Aggregation Queries with Expensive Predicates., , , , , и . Proc. VLDB Endow., 14 (11): 2341-2354 (2021)TAOBench: An End-to-End Benchmark for Social Networking Workloads., , , , , , , , , и 3 other автор(ы). Proc. VLDB Endow., 15 (9): 1965-1977 (2022)LIT: Learned Intermediate Representation Training for Model Compression., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 3509-3518. PMLR, (2019)Online Speculative Decoding., , , , , , и . CoRR, (2023)A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference., , , , , и . Proc. VLDB Endow., 13 (12): 2833-2836 (2020)MLPerf Training Benchmark., , , , , , , , , и 24 other автор(ы). CoRR, (2019)DIFF: A Relational Interface for Large-Scale Data Explanation., , , , , , , , , и 3 other автор(ы). Proc. VLDB Endow., 12 (4): 419-432 (2018)Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics., , , , и . Proc. VLDB Endow., 14 (2): 87-100 (2020)