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TAOBench: An End-to-End Benchmark for Social Networking Workloads., , , , , , , , , and 3 other author(s). Proc. VLDB Endow., 15 (9): 1965-1977 (2022)Accelerating Approximate Aggregation Queries with Expensive Predicates., , , , , and . Proc. VLDB Endow., 14 (11): 2341-2354 (2021)Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark., , , , , , , , , and . ACM SIGOPS Oper. Syst. Rev., 53 (1): 14-25 (2019)LIT: Learned Intermediate Representation Training for Model Compression., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3509-3518. PMLR, (2019)Contracting Wide-area Network Topologies to Solve Flow Problems Quickly., , , , , and . NSDI, page 175-200. USENIX Association, (2021)Infrastructure for Usable Machine Learning: The Stanford DAWN Project, , , and . (2017)cite arxiv:1705.07538.Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference., , , , , and . MLSys, mlsys.org, (2020)Coordination Avoidance in Database Systems (Extended Version), , , , , and . (2014)cite arxiv:1402.2237Comment: Extended version of paper appearing in PVLDB Vol. 8, No. 3.The Seattle Report on Database Research., , , , , , , , , and 23 other author(s). SIGMOD Rec., 48 (4): 44-53 (2019)Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework., , , , , , , , , and 9 other author(s). CoRR, (2022)