Abstract: With the increasing demand on memory capacity and energy consumption,current DRAM based memory systems face the scalability challenges in terms of storage density and power.Hybrid memory architecture,a promising approach to large-capacity and energy-efficient main memory composed of emerging Non-Volatile Memory (NVM) and DRAM has received extensive attention.Cache plays an important role and highly affects the number of write and read to NVM and DRAM blocks.However,existing cache policies based on LRU failed to fully address the significant asymmetry between NVM operations and DRAM ope-rations under different type of workloads.Cache trashing and scans problems can still seriously affect the performance of the system.By analyzing characteristics of different types of load and the competition between DRAM and NVM data under different access patterns,this paper proposes a dynamically adjusted level cache replacement strategy (DLRP).Experiment results show that proposed strategy improves the performance by 16.5% on average compared with a state-of-the-art cache policy (WBAR).DLRP also reduces energy consumption and NVM writes by 5.1%,5.2% against WBAR.

Key words: Aaccess pattern, Cache replacement, Hybrid memory, NVM