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首页> 外文期刊>The Computer journal >Demand-Aware NVM Capacity Management Policy for Hybrid Cache Architecture
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Demand-Aware NVM Capacity Management Policy for Hybrid Cache Architecture

机译:用于混合缓存体系结构的需求感知NVM容量管理策略

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Existing hybrid cache architecture (HCA) studies have concentrated on managing write-intensive blocks to relieve the write pressure on Non-volatile memory (NVM). However, they have overlooked that the capacity of NVM is also one of important factors affecting the number of write accesses to NVM. This research investigates the relationship between the size of NVM and the write counts of NVM to efficiently design a new algorithm to reduce the write counts of NVM in HCA. Based on the analysis, it is revealed that adjusting the capacity of NVM can decrease write requests to NVM if the miss rate does not grow. This discovery leads to the necessity of NVM capacity management policy such that the size of NVM is dynamically adjusted according to the demand of applications. To implement the policy, we propose a dynamic way adjusting algorithm which dynamically monitors the optimal number of NVM ways using the stack property and disabling the unnecessary NVM ways. The experiments are conducted for two HCAs with STT-RAM and PCM. The results show that proposed management policy reduces the write accesses to STT-RAM by 77.6% and PCM by 79.6%.
机译:现有的混合高速缓存体系结构(HCA)研究集中于管理写密集型块,以减轻非易失性存储器(NVM)的写压力。但是,他们忽略了NVM的容量也是影响对NVM的写访问次数的重要因素之一。本研究探讨了NVM的大小与NVM的写入次数之间的关系,以有效地设计一种新的算法来减少HCA中NVM的写入次数。根据分析,可以发现,如果丢失率不增加,调整NVM的容量可以减少对NVM的写入请求。此发现导致需要NVM容量管理策略,以便根据应用程序的需求动态调整NVM的大小。为了实施该策略,我们提出了一种动态方式调整算法,该算法使用堆栈属性动态监视NVM方式的最佳数量,并禁用不必要的NVM方式。针对带有STT-RAM和PCM的两个HCA进行了实验。结果表明,提出的管理策略将对STT-RAM的写访问减少了77.6%,将PCM的写访问减少了79.6%。

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