The goal is to quantify whether better performance can be achieved by using less complex replacement strategies. In this paper, the effects of the cache replacement policy in a partitioned shared cache are investigated. Therefore, a fast and reliable shared memory management system to execute algorithms for processing vast amount of specimen image is needed. In image processing analysis of for example extra pulmonary tuberculosis (TB), an accurate diagnosis for tissue specimen is required. These issues also exist due to some drawbacks of the commonly used Least Recently Used (LRU) policy employed in multiprocessor systems, which are because of the cache lines residing in the cache longer than required. However, competition among multiple processors executing different threads that require simultaneous access to a shared memory may cause cache contention and memory coherence problems on the chip. Daud, Shuhaizar Hafizah Ghazali, NurĬache replacement policies in chip multiprocessors (CMP) have been investigated extensively and proven able to enhance shared cache management. Mahrom, Norfadila Liebelt, Michael Raof, Rafikha Aliana A. Experimental results show that our CACRP behaves better in LLC performance, improving performance up to 43.6% (15.5% on average) compared to LRU.Īn Adaptive Insertion and Promotion Policy for Partitioned Shared Caches In order to minimize the cache miss cost in the hybrid main memory, we propose a cost aware cache replacement policy (CACRP) that reduces the number of cache misses from NVM and improves the cache performance for a hybrid memory system. Current last level cache (LLC) policies are based on the unified miss cost, and result in poor performance in LLC and add to the cost of using NVM. However, the drawbacks of NVM, such as long read/write latency give rise to potential problems leading to asymmetric cache misses in the hybrid main memory. Moreover, the currently proposed hybrid main memory, consisting of both DRAM and NVM, have shown promising advantages in terms of scalability and power consumption. In recent years, non-volatile memories (NVM) such as Phase-Change Memory (PCM) and Spin-transfer torque RAM (STT-RAM) with their low power consumption have emerged to replace DRAM. However, dynamic random access memory (DRAM), the commonly used random access memory, cannot be included into a fog computing system due to its high consumption of power. Jia, Gangyong Han, Guangjie Wang, Hao Wang, Fengįog computing requires a large main memory capacity to decrease latency and increase the Quality of Service (QoS). Cost aware cache replacement policy in shared last-level cache for hybrid memory based fog computing
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