Memory Read Recovery Sequencing Based on Prior Success
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Solution Overview
Problem
Memory devices face inefficiencies in read recovery processes due to redundant operations, consuming significant computing and power resources as they sequentially perform read recovery steps without prioritizing successful ones, even when previous steps are likely to succeed again.
Innovation Solution
Implementing a mechanism to prioritize successful read recovery operations by reordering the sequence to place them earlier, based on previous success counts, thereby reducing redundant steps and conserving resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If memory devices perform read recovery operations sequentially without prioritization, then all possible recovery steps are attempted to ensure data retrieval, but time and computing resources are wasted on redundant operations that have already succeeded previously
Solution Approach 1:
The patent applies preliminary action by reordering the read recovery operation sequence to place previously successful operations earlier in the sequence. The memory device tracks historical success patterns and prioritizes executing those operations first, so that if they succeed again (which is likely), the device avoids wasting time on subsequent redundant operations. This transforms the recovery process from a fixed sequential approach to a dynamically optimized sequence based on past performance.
Solution Approach 2:
The patent implements dynamics by making the read recovery operation sequence adaptive rather than static. The sequence is dynamically adjusted based on historical success data, allowing the memory device to learn from past operations and optimize future recovery attempts. This dynamic reordering enables the system to adapt to changing conditions while maintaining reliability, as the sequence can be updated based on actual performance patterns.
2Reliability
If memory devices perform complete sequential read recovery operations, then all recovery possibilities are explored to maximize data retrieval, but computing resources are consumed redundantly on repeated successful operations
Solution Approach 1:
The patent applies preliminary action by pre-positioning previously successful read recovery operations at the beginning of the execution sequence. By analyzing historical data and identifying which operations have succeeded in the past, the system prepares an optimized sequence in advance that prioritizes these successful operations. This preliminary arrangement reduces redundant computing resource consumption during actual recovery operations, as the device is more likely to succeed with fewer steps.
Solution Approach 2:
The patent implements parameter changes by modifying the execution order parameter of read recovery operations based on historical success metrics. The system tracks success rates and uses this information to change the sequence parameter dynamically, placing high-success operations earlier in the sequence. This parameter optimization reduces the average number of operations needed for successful recovery, thereby conserving computing resources and energy.
3Ease of manufacture
If memory devices use fixed sequential read recovery sequences, then implementation is simple and consistent, but efficiency is reduced due to inability to prioritize successful operations
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing an optimized sequence of read recovery operations based on historical success data. Instead of complex real-time decision-making during recovery, the system prepares the optimal sequence in advance by analyzing past performance patterns. This preliminary preparation maintains implementation simplicity while significantly improving efficiency, as the device can directly execute the pre-optimized sequence without complex runtime calculations.
Solution Approach 2:
The patent implements feedback by using historical success data from previous read recovery operations to inform future sequence ordering. The system continuously monitors which operations succeed and uses this feedback to adjust and optimize the recovery sequence. This feedback mechanism enables the system to improve efficiency over time while maintaining relatively simple implementation, as the feedback is used to pre-adjust the sequence rather than trigger complex real-time control logic.
Data Source
AI summary
In some implementations, a memory device may detect a first read failure associated with a page type and a memory section of the memory device. The memory device may perform multiple read recovery operations in a first order defined by a first sequence of read recovery operations. The memory device may identify a read recovery operation that results in successful recovery from the first read failure. The memory device may reorder the first sequence of read recovery operations to generate a second sequence of read recovery operations that prioritizes the read recovery operation. The memory device may detect a second read failure associated with the page type and the memory section. The memory device may perform one or more read recovery operations to recover from the second read failure in a second order defined by the second sequence of read recovery operations.