Memory Controller Super Block Grouping for Read Count Optimization
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Solution Overview
Problem
In memory systems, the existing technologies face challenges in efficiently managing memory blocks and minimizing complexity and performance degradation, especially when read requests are distributed across multiple super blocks, leading to inefficiencies in data processing and storage.
Innovation Solution
A memory system and method that groups memory blocks into super blocks based on read counts, sorts and regroups them to optimize data processing, and performs a merge operation to move valid data from source blocks to general blocks, enhancing data management and storage efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If memory blocks are grouped into multiple super blocks and processed separately, then data access parallelism is improved, but system complexity and performance degradation increase
Solution Approach 1:
The patent segments memory blocks into super blocks based on read count characteristics, creating source super blocks (high read count) and general super blocks (low read count). This segmentation allows differentiated management strategies for different memory access patterns, improving overall system efficiency while maintaining manageable complexity through hierarchical organization.
Solution Approach 2:
The patent implements dynamic super block formation and dissolution based on real-time read count monitoring. When source super blocks are fully read, they are dissolved and merged into general super blocks. This dynamic adjustment optimizes performance adaptively without requiring complex static configuration, resolving the contradiction between speed optimization and system complexity.
2Adaptability or versatility
If read requests are processed from distributed super blocks, then data retrieval flexibility is improved, but processing time and performance degradation increase
Solution Approach 1:
The patent performs preliminary actions by pre-organizing memory blocks into source and general super blocks based on read count before actual data requests arrive. This advance organization ensures that high-frequency accessed data is readily accessible in source super blocks, reducing processing time during actual operations while maintaining the flexibility to adapt to different access patterns.
Solution Approach 2:
The patent applies different management qualities to different parts of the memory system: source super blocks receive priority handling with faster access paths for high-read-count blocks, while general super blocks use standard processing. This local differentiation improves overall processing efficiency without requiring complex global optimization, balancing flexibility and speed.
3Stability of the object's composition
If merge operations are performed on all super blocks, then data consolidation is improved, but operational complexity and performance degradation increase
Solution Approach 1:
The patent applies partial action by performing merge operations only on source super blocks when they are fully read, rather than continuously merging all super blocks. This selective approach maintains data structure stability by consolidating read-complete blocks into general super blocks, while avoiding unnecessary merge operations that would increase operational complexity and performance degradation.
4Productivity
If memory blocks are frequently regrouped into super blocks, then data access efficiency is improved, but system performance and stability deteriorate
Solution Approach 1:
The patent implements periodic super block formation and dissolution based on read count thresholds rather than continuous reorganization. Source super blocks are formed when blocks accumulate high read counts, and dissolved when fully read. This periodic approach maintains data access efficiency by adapting to access patterns while ensuring system stability by avoiding excessive reorganization operations that could compromise reliability.
Data Source
AI summary
A memory system includes a memory device including multiple memory blocks and a controller that groups the multiple memory blocks into a plurality of super blocks according to a specific condition, each of the super blocks including two or more memory blocks, sorts a mixed super block among the super blocks, the mixed super block including a source block and a general block, the source block being a memory block having a read count equal to or greater than a reference value, the general block being a memory block having a read count smaller than the reference value, collects and regroups two or more source blocks, included in two or more mixed super blocks, into one or more source super blocks according to the specific condition, and moves valid data of the one or more source super blocks to one or more general super blocks each including general blocks only.