Memory Error Recovery Selection for Program Status Failures
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Solution Overview
Problem
Existing memory devices face performance issues due to inefficient error recovery operations, particularly when severe failures occur, leading to prolonged downtime and unnecessary stress on memory cells.
Innovation Solution
Adaptive error recovery mechanism that selects appropriate recovery operations (REH or RAID) based on data state metrics, such as CFBit and CFByte counts, to predict the likelihood of successful data recovery, thereby reducing unnecessary intensive recovery attempts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If intensive RAID recovery operation is performed on all program status failures, then data recovery success rate improves, but memory device performance deteriorates due to prolonged downtime and increased stress on memory cells
Solution Approach 1:
The system changes the parameter of recovery operation selection from fixed (always RAID) to variable based on failure characteristics. By analyzing failure metrics such as program status failure counts and patterns, the system dynamically selects between REH and RAID operations, optimizing both recovery success rate and performance based on the specific failure scenario.
Solution Approach 2:
The error recovery mechanism transitions from a static approach (always performing intensive RAID recovery) to a dynamic approach that adapts the recovery operation type based on real-time failure analysis. The system dynamically determines whether to apply REH or RAID operations by evaluating failure metrics, thereby balancing reliability and performance requirements.
2Ease of operation
If default error handling process is executed for all failures, then processing simplicity is maintained, but recovery efficiency deteriorates due to unnecessary intensive recovery attempts
Solution Approach 1:
The system introduces a conditional parameter-based decision framework that evaluates failure metrics (such as program status failure counts and patterns) to determine the appropriate recovery operation. This transforms the simple default error handling process into an adaptive process that selects between REH and RAID operations based on analyzed failure characteristics, improving recovery efficiency without significantly complicating the processing flow.
Data Source
AI summary
A memory sub-system includes a memory device and one or more processing devices to perform operations. A failure exhibited by a set of memory cells of the memory device is detected. It is determined whether a subset of memory cells of the set of memory cells satisfies a first threshold condition based on a read level voltage corresponding to a per-cell memory density of the memory device. In response to determining that the subset of memory cells satisfies the first threshold condition, a first data recovery operation is selected from a set of data recovery operations. The first data recovery operation is performed on the set of memory cells.


