Abstract
With the rapid development of big data technologies, the requirements of tremendously accessing memory are increasing, therebyresulting in a serious problem of high consumption power by accessing traditional DRAM memory. However, large volume and low power dissipation of NVM are becoming increasingly mature, showing potential as an alternative main memory in a heterogeneous memory system. In terms of the historical traces of accessing memory pages, we propose a two-way Hash chain list-based migration mechanism (THMigrator) for a heterogeneous memory system. The THMigrator can migrate memory pages with high frequency from PCM or STT-RAM to DRAM. Moreover, we evaluated the energy efficiency of a heterogeneous memory system by the proposed energy efficiency analysis model. The experimental results show that the performance of computation and the average ratio of energy efficiency supported by the THMigrator are improved by 9.3% and 17%, respectively, compared with that of an MQMigrator. Moreover, the average ratio of energy efficiency supported with the THMigrator increased by 26% compared with that of a CoinMigrator.
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