Flash memory wear balance method

Abstract

The invention discloses a flash memory wear balance method, which comprises the following steps of: (1) dividing a flash memory storage area into a plurality of storage subareas; (2) determining the wear degree of various storage subareas at intervals, numbering seriously worn storage subareas, and interposing the seriously worn storage subareas into a seriously worn storage subarea queue; and (3) performing a dynamic wear balance operation to achieve flash memory wear balance when a logic block requires a newly allocated physical block. The wear balance method is suitable for performing the wear balance on memory devices such as flash memories, is not affected by the extensibility problem, is also suitable for large-capacity flash memory devices, and can greatly improve the read-write performance and the service life of memory systems.

Description

technical field [0001] The invention belongs to the field of semiconductor storage, and in particular relates to a wear leveling method of a flash memory. Background technique [0002] Flash memory is more and more widely used in various fields because of its high density, large capacity, low time-consuming read and write operations, low energy consumption, and non-volatility; at the same time, some of the flash memory chips themselves Defects limit the applications of this type of memory. First, the writing operation of the flash memory must be performed in a blank area. If there is data in the target area, it must be erased first and then written. The flash memory is erased in units of blocks. Second, the number of erasable times of a flash memory chip is limited. The number of erasable times for NOR flash memory is generally about 100,000 times, and the number of erasable times for NAND flash memory is generally about one million times. [0003] However, in the actual u...

AI Technical Summary

Problems solved by technology

In an environment where the capacity of flash memory chips is gradually increasing, the existing wear leveling algorithm is already suffering from scalability problems, which seriously affects the income of the wear leveling algorithm and the read and write performance of the system.

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