E2-NVM:一种使用变分自编码器的内存感知写入方案,以提高nvm的能源效率和写入持久性

Saeed Kargar, Binbin Gu, S. Jyothi, Faisal Nawab
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引用次数: 2

摘要

我们引入了软件级内存感知存储层E2- nvm,以提高nvm的能效和写入持久性(E2)。E2-NVM采用基于变分自编码器(VAE)的设计,将写操作明智地引导到内存段,从而最大限度地减少位翻转。E2-NVM可以使用现有的索引解决方案进行扩展。E2-NVM还可以与先前基于硬件的解决方案相结合,以进一步提高效率。我们对Optane存储设备进行了实际评估,结果表明E2-NVM可以实现高达56%的能耗降低。
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E2-NVM: A Memory-Aware Write Scheme to Improve Energy Efficiency and Write Endurance of NVMs using Variational Autoencoders
We introduce E2-NVM , a software-level memory-aware storage layer to improve the Energy efficiency and write Endurance (E2) of NVMs. E2-NVM employs a Variational Autoencoder (VAE) based design to direct the write operations judiciously to the memory segments that minimize bit flips. E2-NVM can be augmented with existing indexing solutions. E2-NVM can also be combined with prior hardware-based solutions to further improve efficiency. We performed real evaluations on an Optane memory device that show that E2-NVM can achieve up to 56% reduction in energy consumption.
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