Memory Controller Map Segmentation for Data Retrieval Speed
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Solution Overview
Problem
Existing memory systems face challenges in quickly and stably processing data due to inefficiencies in data storage and retrieval operations, particularly in managing map data and user data across multiple memory blocks.
Innovation Solution
A memory system with a controller that generates and manages map segments and lists to efficiently store, search, and update data segments, using logical page numbers as indexes and recording offsets and counts to optimize data positioning and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If map data is stored directly in memory blocks without structured organization, then storage simplicity is improved, but data retrieval speed and update efficiency deteriorate
Solution Approach 1:
The patent segments map data into multiple map segments, each containing a limited number of map information entries (e.g., 4 entries per segment). This segmentation allows the system to store map data in an organized manner while enabling efficient retrieval by processing only relevant segments, thus resolving the contradiction between storage organization and retrieval speed.
Solution Approach 2:
The patent introduces a multi-dimensional indexing structure with first lists (indexed by logical page numbers) and second lists (indexed by map segment indexes, offsets, and counts). This additional dimensional organization transforms the flat storage structure into a hierarchical one, enabling fast retrieval without compromising storage simplicity.
2Measurement precision
If comprehensive map information is stored for all data segments, then data mapping accuracy is improved, but memory usage and processing complexity increase
Solution Approach 1:
By dividing map information into multiple map segments with controlled sizes (e.g., maximum 4 entries per segment), the system maintains comprehensive mapping accuracy while reducing the complexity of processing any single map segment. The segmentation allows parallel processing and reduces the search space for updates.
Solution Approach 2:
The patent uses partial action by only loading and processing relevant map segments into the buffer memory when needed, rather than loading all map information simultaneously. This approach maintains mapping accuracy for required data while reducing overall processing complexity and memory usage.
3Stability of the object's composition
If map segments are updated frequently to reflect data changes, then data consistency is improved, but processing time and energy consumption increase
Solution Approach 1:
The patent performs preliminary actions by pre-organizing map information into segmented structures with indexes and metadata (offsets, counts) before updates are needed. This preliminary organization enables faster update operations because the system only needs to modify specific segments rather than reorganize entire map data, thus maintaining consistency while reducing processing time.
Solution Approach 2:
The patent applies local quality by allowing different map segments to have different update frequencies and priorities based on their relevance. Frequently accessed or changed data segments can be updated more often with higher priority, while less critical segments are updated less frequently, optimizing the balance between consistency and processing time.
4Speed
If all map information is loaded into buffer memory at once, then access speed is improved, but memory consumption and power usage increase
Solution Approach 1:
The patent segments map information into multiple map segments that are loaded into buffer memory on demand rather than all at once. This segmentation allows the system to maintain fast access speeds for required data while significantly reducing power consumption by keeping only necessary segments in high-speed buffer memory and storing less frequently accessed segments in slower memory.
Solution Approach 2:
The patent uses partial action by loading only the necessary portion of map information (specific map segments) into buffer memory based on current access patterns, rather than loading all map information. This approach maintains adequate access speed for active data while reducing power consumption proportional to the reduced memory usage.
Data Source
AI summary
A memory system may include: a memory device including a plurality of pages in which data are stored and a plurality of memory blocks which include the pages; and a controller suitable for storing data segments of user data corresponding to a write command received from a host, in the pages included in the memory blocks, generating map segments of map data corresponding to storage of the data segments and lists, and searching and updating the map segments through the lists.