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Provably Efficient Online Nonclairvoyant Adaptive Scheduling., , and . IEEE Trans. Parallel Distrib. Syst., 19 (9): 1263-1279 (2008)Energy-efficient multiprocessor scheduling for flow time and makespan., , , and . Theor. Comput. Sci., (2014)Mercury: A memory-constrained spatio-temporal real-time search on microblogs., , , , and . ICDE, page 172-183. IEEE Computer Society, (2014)Adaptive Scheduling with Parallelism Feedback., , , and . IPDPS, page 1-7. IEEE, (2007)Obtaining and Managing Answer Quality for Online Data-Intensive Services., , , , , and . TOMPECS, 2 (2): 11:1-11:31 (2017)DeepCPU: Serving RNN-based Deep Learning Models 10x Faster., , , and . USENIX Annual Technical Conference, page 951-965. USENIX Association, (2018)BitFunnel: Revisiting Signatures for Search., , , , , , and . SIGIR, page 605-614. ACM, (2017)Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search., , , , and . WSDM, page 7-16. ACM, (2015)Learning Intrinsic Sparse Structures within Long Short-Term Memory., , , , , , , , and . ICLR (Poster), OpenReview.net, (2018)GRNN: Low-Latency and Scalable RNN Inference on GPUs., , , , and . EuroSys, page 41:1-41:16. ACM, (2019)