Memory Error Handling Flow With Selective Operation Bypass
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Solution Overview
Problem
Existing error handling flows in memory sub-systems are inefficient due to the execution of unnecessary operations, leading to increased latency and resource consumption, as they lack the ability to bypass operations not directed at specific error mechanisms.
Innovation Solution
Utilizing memory management data to identify specific error mechanisms and selectively perform only the necessary operations of the error handling flow, thereby reducing latency and resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all operations of the error handling flow are executed, then reliability is improved, but latency increases
Solution Approach 1:
The patent applies partial action by executing only a subset of error handling operations based on the identified error mechanism. Instead of running all operations in the error handling flow, the system selectively performs only those operations relevant to the detected error type, thereby reducing latency while maintaining sufficient reliability for the specific error condition.
Solution Approach 2:
The error handling flow is segmented into multiple discrete operations, each targeting specific error mechanisms. The patent identifies which segment (operation) is needed based on the error mechanism detection, allowing the system to execute only the relevant segment rather than the entire flow, thus reducing overall execution time while maintaining effectiveness.
2Reliability
If all operations of the error handling flow are executed, then reliability is improved, but resource consumption increases
Solution Approach 1:
The system performs partial error handling operations by executing only the subset of operations necessary for the identified error mechanism. This reduces computational resources and energy consumption while maintaining adequate error handling capability for the specific error type detected, avoiding the waste of resources on unnecessary operations.
Solution Approach 2:
The error handling approach applies local quality by tailoring the handling operations to match the specific error mechanism detected. Different error mechanisms receive different tailored operations rather than a uniform treatment, optimizing resource usage by applying only the necessary handling strength and type for each local error condition.
3Productivity
If error handling operations are tailored to specific error mechanisms, then productivity is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary detection of the error mechanism before executing error handling operations. By identifying the specific error type in advance, the system can pre-determine which operations are necessary, avoiding the need for complex real-time decision-making during error handling and improving overall productivity while managing complexity through advance preparation.
Solution Approach 2:
The error handling system uses feedback from error mechanism detection to dynamically select and execute appropriate operations. The detection results feed back into the operation selection process, enabling adaptive error handling that improves productivity by avoiding unnecessary operations while the feedback mechanism itself manages the complexity through structured information flow.
Data Source
AI summary
Respective error handling (EH) flags can be set based at least in part on media management data of a memory device. Whether any of the EH flags are set can be determined. In response to determining that at least one of the EH flags is set, a subset of a plurality of operations of an EH flow associated with the set EH flags can be performed.