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Cache partitioning and sharing is critical to the effective utilization of multicore processors. However, almost all existing studies have been evaluated by simulation that often has several limitations, such as excessive simulation time, absence of OS activities and proneness to simulation inaccuracy. To address these issues, the authors have taken an efficient software approach to supporting both static and dynamic cache partitioning in OS through memory address map-ping. They have comprehensively evaluated several representative cache partitioning schemes with different optimization objectives, including performance, fairness, and Quality of Service (QoS).
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