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- W3089356345 abstract "Non-volatile random memory has the characteristics of fast read and random storage of SRAM and DRAM, and the non-volatile characteristics of magnetic disks, which has become one of the current research hotspots of memory. However, the writing speed of the non-volatile random access memory is relatively slow, and how to improve the writing speed of the non-volatile random access memory has become an important issue for research. A large number of scholars have designed a special memory file management system by studying the structure of non-volatile memory, but its write speed is still lower than that of DRAM. This paper proposes a classification write operation algorithm, which uses decision tree algorithm to intelligently classify write requests, combines LSM-Tree ideas for memory management, and uses DRAM as a cache to write to NVRAM through asynchronous write back operations, greatly improving NVRAM write speed." @default.
- W3089356345 created "2020-10-08" @default.
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- W3089356345 date "2020-10-16" @default.
- W3089356345 modified "2023-09-26" @default.
- W3089356345 title "Research on write optimization of NVRAM memory management system based on decision tree and LSM-Tree" @default.
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- W3089356345 doi "https://doi.org/10.1145/3419635.3419662" @default.
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