Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A nand Flash Bit Error Rate Prediction Method Based on Support Vector Regression

A technology of support vector regression and prediction method, which is applied to error detection of redundant codes, generation of response errors, instruments, etc. It can solve the problems of reduced storage reliability, reduced structure size, and smaller interval, and achieves fewer entry parameters. , The effect of short prediction time and high work efficiency

Active Publication Date: 2021-01-12
HARBIN INST OF TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, with the continuous improvement of Flash technology, NAND Flash has developed rapidly due to its unique characteristics such as high density, large capacity, low power consumption, non-volatile data, and fast I / O response, and has gradually become a high-speed, large-capacity The main storage medium of the storage system, thanks to the rapid improvement of the global semiconductor production process, the feature size of NAND Flash is shrinking, and its storage density is increasing. However, while reducing the unit storage cost, its storage reliability is sacrificed. The reduction in size leads to a smaller interval between the threshold voltages of adjacent cells in NAND Flash. During data access, memory cells are extremely susceptible to interference, which makes their storage reliability continue to decrease, especially as MLC (Multi-Level Cell) and TLC With the emergence of (Trinary-Level Cell) chips, the instability of NAND Flash is more obvious
[0003] In order to ensure the reliability of the data stored in NAND Flash, it is necessary to adapt various error correction codes with different error correction capabilities for NAND Flash, and the specific error correction code used depends on the accurate grasp of the bit error rate of Flash, and NAND Flash is put into application In the early stage, because the characteristics of the oxide layer are stable, there will generally not be serious errors. However, as the number of P / E cycles in the use of NAND Flash continues to increase, the probability of errors will increase approximately exponentially.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A nand Flash Bit Error Rate Prediction Method Based on Support Vector Regression
  • A nand Flash Bit Error Rate Prediction Method Based on Support Vector Regression
  • A nand Flash Bit Error Rate Prediction Method Based on Support Vector Regression

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] An MLC NAND Flash chip with a page width of 4096 bytes from Micron was used as an experiment to predict the bit error rate. First, the random number generation function was used to generate a size of 4k bytes '0', and the ratio of '1' was 1: The data of 1 is written into different data pages of the NAND Flash chip respectively, and then 66 different physical blocks in the chip are selected, and each physical block corresponds to a fixed P / E cycle for uninterrupted programming / erasing cycles (P / E E) cycle, the selection rule of the P / E cycle number collection data in the present embodiment is, the wear strength of interval 100P / E cycle, from 1P / E cycle to 5000P / E cycle collects 51 groups of data altogether, with 1000P / E cycle The interval, from 5000P / E cycle to 20000P / E cycle, collects 15 sets of data in total. According to this collection rule, bit error rate data with different dwell times were continuously collected for a total of 200 days. According to the collected ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an NAND Flash bit error rate prediction method based on a support vector regression method. According to the characteristic that the data residence time and the P / E period number in the NAND Flash chip greatly influence the bit error rate, and a support vector regression has small samples, and the accurability is high, a manual wear experiment is carried out on the chip toobtain data, Existing data is used to establish a three-dimensional model among the bit error rate, the data residence time and the P / E cycle number, Therefore, the bit error rate of the chip is predicted to guide the adaptation of the error correction algorithm and improve the storage reliability of the data.; Compared with a traditional bit error rate prediction method based on a neural networkmethod, the bit error rate prediction method based on the support vector regression method has the advantages that under the condition that the accuracy is the same, the efficiency is improved by morethan five times.

Description

technical field [0001] The invention relates to the technical field of solid-state storage, and more specifically relates to a NAND Flash bit error rate prediction method based on a support vector regression method. Background technique [0002] At present, with the continuous improvement of Flash technology, NAND Flash has developed rapidly due to its unique characteristics such as high density, large capacity, low power consumption, non-volatile data, and fast I / O response, and has gradually become a high-speed, large-capacity The main storage medium of the storage system, thanks to the rapid improvement of the global semiconductor production process, the feature size of NAND Flash is shrinking, and its storage density is increasing. However, while reducing the unit storage cost, its storage reliability is sacrificed. The reduction in size leads to a smaller interval between the threshold voltages of adjacent cells in NAND Flash. During data access, memory cells are extrem...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/10G06K9/62
Inventor 魏德宝刘娜乔立岩陈肖钰彭喜元
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products