Memory Block Classification for Adaptive Error Correction
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Solution Overview
Problem
Memory systems face complexity and performance deterioration due to varying error correction needs across different memory blocks, leading to inefficiencies in data processing and storage.
Innovation Solution
A memory system with a controller that performs error correction operations, updates a characteristic list for each memory block, and classifies and manages memory blocks based on error correction counts and distribution degrees to optimize data processing and storage operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error correction operations are performed on all memory blocks uniformly, then data reliability is improved, but system complexity and processing time increase
Solution Approach 1:
The patent applies local quality by differentiating error correction operations based on memory block characteristics. Instead of uniform error correction across all blocks, the system identifies blocks with higher error rates and applies enhanced error correction only to those specific blocks, while using standard error correction for blocks with lower error rates. This localized approach maintains data reliability where needed while reducing overall system complexity.
Solution Approach 2:
The patent implements dynamics by making error correction strategies adaptive rather than static. The system dynamically adjusts error correction operations based on real-time memory block characteristics and error patterns. This allows the system to optimize between reliability and complexity by changing error correction intensity according to actual memory conditions rather than applying a fixed uniform approach.
2Reliability
If error correction operations are performed on all memory blocks uniformly, then data reliability is improved, but processing speed deteriorates
Solution Approach 1:
The patent applies local quality by differentiating error correction operations based on memory block characteristics. Instead of uniform error correction across all blocks, the system identifies blocks with higher error rates and applies enhanced error correction only to those specific blocks, while using standard error correction for blocks with lower error rates. This localized approach maintains data reliability where needed while reducing overall system complexity.
Solution Approach 2:
The patent implements partial action by applying enhanced error correction only to the extent necessary for blocks that require it. Rather than performing maximum error correction on all blocks, the system performs partial error correction only on blocks showing signs of higher error rates, leaving blocks with good reliability characteristics to undergo simpler error correction processes.
3Device complexity
If memory blocks are managed without classification, then device complexity is minimized, but use efficiency deteriorates
Solution Approach 1:
The patent applies segmentation by dividing memory blocks into different categories based on their error characteristics and performance metrics. The system segments blocks into groups such as high-reliability blocks, low-reliability blocks, and blocks requiring enhanced error correction. This segmentation allows for optimized management strategies for each group, improving overall use efficiency without creating excessive complexity.
Solution Approach 2:
The patent implements parameter changes by using error correction counts and other metrics as classification parameters. The system changes the management approach based on these parameters, adjusting error correction intensity, read operations, and program operations according to the classified block characteristics. This parameter-based classification improves efficiency by matching operations to block conditions.
4Reliability
If enhanced error correction is applied to all memory blocks, then data reliability is improved, but loss of time increases
Solution Approach 1:
The patent applies local quality by differentiating error correction operations based on memory block characteristics. Instead of uniform error correction across all blocks, the system identifies blocks with higher error rates and applies enhanced error correction only to those specific blocks, while using standard error correction for blocks with lower error rates. This localized approach maintains data reliability where needed while reducing overall system complexity.
Solution Approach 2:
The patent implements partial action by applying enhanced error correction only to the extent necessary for blocks that require it. Rather than performing maximum error correction on all blocks, the system performs partial error correction only on blocks showing signs of higher error rates, leaving blocks with good reliability characteristics to undergo simpler error correction processes.
Data Source
AI summary
A memory system may include: a memory device including a plurality of memory blocks each having a plurality of sub memory blocks; and a controller suitable for performing an error correction operation to the memory blocks during a read operation to the memory blocks, updating a characteristic list for the memory blocks at each error correction operation to the memory blocks, classifying the memory blocks and the sub memory blocks according to the updated values in the characteristic list, and performing a program operation to the memory blocks according to the classification.