3D-NAND Flash Solid-State Drive (SSD) for Deep Neural Network Weight Storage of IoT Edge Devices with 700x Data-Retention Lifetime Extention

Author(s):  
Yoshiaki Deguchi ◽  
Ken Takeuchi
Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 623
Author(s):  
Xin Ye ◽  
Zhengjun Zhai ◽  
Xiaochang Li

Solid-state drive (SSD) with flash memory as the storage medium are being widely used in various data storage systems. SSD data compression means that data is compressed before it is written to Not-And (NAND) Flash. Data compression can reduce the amount of data written in NAND Flash and improve the performance and reliability of SSDs. At present, the main problem facing data compression of SSD is how to improve the efficiency of data compression and decompression. In order to improve the performance of data compression and decompression, this study proposes a method of SSD data deduplication based on zone division. First, this study divides the storage space of the SSD into zones and divides them into one hot zone and multiple cold zones according to the different erasing frequency. Second, the data in each zone is divided into hot data and cold data according to the number of erasures. At the same time, the address mapping table in the hot zone is loaded into the cache. Finally, when there is a write or read request, the SSD will selectively compress or decompress the data according to the type of different zones. Through simulation tests, the correctness and effectiveness of this study are verified. The research results show that the data compression rate of this research result can reach 70–95%. Compared with SSD without data compression, write amplification is reduced by 5 to 30%, and write latency is reduced by 5 to 25%. The research results have certain reference value for improving the performance and reliability of SSD.


2017 ◽  
Author(s):  
Y. Sakaki ◽  
T. Yamada ◽  
C. Matsui ◽  
Y. Yamaga ◽  
K. Takeuchi

2010 ◽  
Vol E93-C (3) ◽  
pp. 317-323 ◽  
Author(s):  
Tadashi YASUFUKU ◽  
Koichi ISHIDA ◽  
Shinji MIYAMOTO ◽  
Hiroto NAKAI ◽  
Makoto TAKAMIYA ◽  
...  

2014 ◽  
Vol 568-570 ◽  
pp. 1186-1190
Author(s):  
Chao Liu ◽  
Nan Li ◽  
Xin Xu

With the continuous development of SSD, It becomes the commodity requirements of memory storage users especially in consumer application. NAND Flash lifespan limitation is the most concerns of every user in relation to the drive’s reliability. This paper explains three factors which embark from the basic principle effect of SSD lifespan and induced the reliability strategies/the method of SSD lifespan prediction during the SSD design and usage period. We have designed a SSD`s lifespan management software which predict and manage the SSD lifespan. It will enhance the safety of SSD usage.SSD lifespan mechanism analyzes how actively you use your solid-state drive and uses a special algorithm to calculate its estimated lifetime. Of course, the date of the lifetime expiration is corrected depending on how intensively you keep using your drive.


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