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Elfen Scheduling: Fine-Grain Principled Borrowing from Latency-Critical Workloads Using Simultaneous Multithreading. In 2016 USENIX Annual Technical Conference (USENIX ATC 16). USENIX Association, Denver, CO, 309--322."},{"key":"e_1_3_2_2_79_1","doi-asserted-by":"publisher","DOI":"10.1145\/2465351.2465388"},{"key":"e_1_3_2_2_80_1","volume-title":"2014 47th Annual IEEE\/ACM International Symposium on Microarchitecture. 406--418","author":"Zhang Y.","unstructured":"Y. Zhang , M. A. Laurenzano , J. Mars , and L. Tang . 2014. SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers . In 2014 47th Annual IEEE\/ACM International Symposium on Microarchitecture. 406--418 . Y. Zhang, M. A. Laurenzano, J. Mars, and L. Tang. 2014. SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers. 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