Abstract：Phase change memory(PCM) uses a phase change material that is non-volatile, higher density, lower energy, and has better scalability than other methods. The main problem with PCM materials is the cell write limitation. Recent studies have focused on optimizing the write operations and wear-leveling, but cannot prevent malicious attacks to rapidly wear the PCM cells. This paper presents a PCM wear-leveling method which divides the whole PCM memory into two levels with separate random mapping tables to convert the logical cell addresses into physical addresses. The random mapping tables are updated dynamically according to the write count thresholds. This method not only implements PCM wear-leveling, but also resists malicious wearing-out attacks. Tests show that This method improves the wear-leveling by up to 87.5% over three existing wear-leveling methods with a system performance loss of less than 6% and additional storage overhead of less than 1‰ of the whole memory size.
刘巍, 王瑀屏. 基于随机映射的相变内存磨损均衡方法[J]. 清华大学学报（自然科学版）, 2015, 55(11): 1208-1215.
LIU Wei, WANG Yuping. Wear-leveling method for PCM based on random mapping. Journal of Tsinghua University(Science and Technology), 2015, 55(11): 1208-1215.
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