Research and Implement about Embedded Database System Base-on NAND Flash Memory

2013 ◽  
Vol 303-306 ◽  
pp. 1892-1896
Author(s):  
Guo Song Jiang
Keyword(s):  
Flash Memory ◽  
Research Field ◽  
Prototype System ◽  
Nand Flash ◽  
Nand Flash Memory ◽  
Tree Model ◽  
Disk Model ◽  
Database Technology ◽  
Embedded Database System ◽  
Embedded Database

Currently, the embedded database technology has become a very active research field, and attracted more and more attention. This paper research how to improve the storage performance of embedded database indexing mechanism using read and write characteristics of NAND flash memory. Based on the reviewed and compared of existing design of NAND flash memory, this article expressed the design and implementation of dynamic index mechanism base on B + Tree. The prototype system combines the advantages of operation of the adapted read operation disk model and write adapted write operation log model, optimal matching and converting for storage model of each node in B + tree model while running which make a variety of devices have better read and write performance.

Novel Three Dimensional (3D) NAND Flash Memory Array Having Tied Bit-line and Ground Select Transistor (TiGer)

2012 ◽  
Vol E95.C (5) ◽  
pp. 837-841 ◽  
Author(s):  
Se Hwan PARK ◽  
Yoon KIM ◽  
Wandong KIM ◽  
Joo Yun SEO ◽  
Hyungjin KIM ◽  
...  
Keyword(s):  
Flash Memory ◽  
Three Dimensional ◽  
Nand Flash ◽  
Nand Flash Memory ◽  
Memory Array

scholarly journals Artificial Neural Network Assisted Error Correction for MLC NAND Flash Memory

Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 879
Author(s):  
Ruiquan He ◽  
Haihua Hu ◽  
Chunru Xiong ◽  
Guojun Han
Keyword(s):  
Neural Network ◽  
Error Correction ◽  
Error Detection ◽  
Flash Memory ◽  
Nand Flash ◽  
Data Reliability ◽  
Nand Flash Memory ◽  
Process Technology ◽  
Noise Mitigation ◽  
Memory Channel

The multilevel per cell technology and continued scaling down process technology significantly improves the storage density of NAND flash memory but also brings about a challenge in that data reliability degrades due to the serious noise. To ensure the data reliability, many noise mitigation technologies have been proposed. However, they only mitigate one of the noises of the NAND flash memory channel. In this paper, we consider all the main noises and present a novel neural network-assisted error correction (ANNAEC) scheme to increase the reliability of multi-level cell (MLC) NAND flash memory. To avoid using retention time as an input parameter of the neural network, we propose a relative log-likelihood ratio (LLR) to estimate the actual LLR. Then, we transform the bit detection into a clustering problem and propose to employ a neural network to learn the error characteristics of the NAND flash memory channel. Therefore, the trained neural network has optimized performances of bit error detection. Simulation results show that our proposed scheme can significantly improve the performance of the bit error detection and increase the endurance of NAND flash memory.

scholarly journals Investigation of Re-program Scheme in Charge Trap Based 3D NAND Flash Memory

2021 ◽  
pp. 1-1
Author(s):  
Ting Cheng ◽  
Jianquan Jia ◽  
Lei Jin ◽  
Xinlei Jia ◽  
Shiyu Xia ◽  
...  
Keyword(s):  
Flash Memory ◽  
Program Scheme ◽  
Nand Flash ◽  
Nand Flash Memory ◽  
Charge Trap
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