NAND Flash Data-Type Block Collection for Faster Access
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Solution Overview
Problem
NAND flash memory access performance is limited due to its serial access nature, making it difficult for hosts to directly access random addresses, necessitating improvements in data management and storage optimization.
Innovation Solution
A method and apparatus that determine specific data types, collect valid physical pages of those types from source blocks, and program them into destination blocks, utilizing a processing unit and flash interface to manage data based on type, optimizing storage locations and reducing migration frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If NAND flash memory uses serial access, then device complexity is reduced, but access performance deteriorates due to inability to randomly access addresses
Solution Approach 1:
The patent segments data into different types (e.g., hot data, cold data) and organizes them into separate blocks or regions within the flash memory. This segmentation allows the system to optimize access patterns for different data types, improving overall access performance while maintaining the serial access architecture of NAND flash.
Solution Approach 2:
The patent implements preliminary data organization and classification before actual data access operations. By pre-sorting and arranging data based on access patterns and types, the system reduces the need for random access during operation, thereby improving access speed without changing the underlying serial access mechanism.
2Device complexity
If data is stored without type-based organization, then device complexity is reduced, but data migration frequency increases and storage efficiency deteriorates
Solution Approach 1:
The patent applies local quality by creating different storage regions or blocks tailored to specific data types. Each region is optimized for particular data characteristics (e.g., frequently accessed data in one region, rarely accessed data in another), improving storage efficiency and reducing unnecessary data migration while maintaining manageable complexity through localized organization.
Solution Approach 2:
The patent implements dynamic data management where the system can adaptively organize and reorganize data based on changing access patterns. This dynamic approach allows the system to optimize storage efficiency over time by migrating data between regions based on current usage patterns, without requiring complex static reconfiguration.
3Adaptability or versatility
If random access is implemented in NAND flash, then data access flexibility is improved, but access performance deteriorates due to sequential access requirements
Solution Approach 1:
The patent introduces an intermediary layer (such as a buffer, cache, or translation layer) between the host system and the flash memory. This intermediary manages the translation and organization of data, allowing the host to present random access requests while the intermediary handles the actual sequential access to the flash memory in an optimized manner, thereby maintaining both flexibility and performance.
Data Source
AI summary
The invention introduces a method for collecting data based on data type, performed by a processing unit, to include: determining a specific data type from multiple data types; determining multiple source blocks from multiple data blocks; collecting user data of valid physical pages of the specific data type from the source blocks; and programming collected user data of the valid physical pages of the specific data type into a destination block.