Memory Subsystem Error Handling with Selective Recovery Flows
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing error handling (EH) flows in memory sub-systems are inefficient as they perform a fixed sequence of operations regardless of the specific error mechanism, leading to increased latency and resource consumption due to unnecessary operations.
Innovation Solution
Utilize memory management data to identify specific error mechanisms and selectively perform only the necessary operations of the EH flow, bypassing those not directed at the identified errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed sequence of EH flow operations is performed regardless of specific error mechanisms, then comprehensive error coverage is achieved, but latency and resource consumption increase due to unnecessary operations
Solution Approach 1:
The EH flow is segmented into multiple operations (e.g., read retry, program-verify-read, RAIN recovery) that can be independently selected and executed. Each operation targets specific error mechanisms, allowing the system to divide the comprehensive error handling process into discrete, conditionally-executable segments rather than performing a monolithic fixed sequence.
Solution Approach 2:
The EH flow transitions from a static fixed sequence to a dynamic adaptive process. The controller dynamically determines which operations to execute based on real-time analysis of memory management data and identified error mechanisms. This dynamic adaptation allows the system to adjust the EH flow execution path according to actual error conditions, reducing unnecessary operations while maintaining comprehensive coverage for actual errors.
2Reliability
If a fixed sequence of EH flow operations is performed regardless of specific error mechanisms, then all error types are addressed, but resource consumption increases due to unnecessary operations
Solution Approach 1:
The system applies partial action by executing only the subset of EH flow operations necessary to address the identified error mechanisms. Instead of performing all operations (excessive action), the controller selects and executes only the relevant operations based on memory management data analysis, thereby reducing resource consumption while maintaining sufficient error handling completeness.
Solution Approach 2:
The system changes the execution parameters of the EH flow based on detected error conditions. By analyzing memory management data and identifying specific error mechanisms, the controller adjusts which operations are executed, effectively changing the operational parameters of the error handling process to match actual needs rather than following a fixed parameter set.
3Productivity
If memory management data is analyzed to identify error mechanisms and selectively perform EH operations, then latency and resource consumption are reduced, but system complexity increases
Solution Approach 1:
The system performs preliminary analysis of memory management data before executing EH operations. By pre-analyzing workload characteristics, error rates, and memory conditions, the controller identifies likely error mechanisms in advance and prepares to execute only the relevant EH operations. This preliminary action simplifies the decision-making process during actual error handling, reducing the apparent complexity during critical operations.
Solution Approach 2:
The system implements feedback loops where memory management data is continuously monitored and analyzed to inform EH flow execution decisions. The controller uses feedback from workload patterns, error rates, and memory conditions to dynamically adjust which operations are executed. This feedback mechanism automates the complexity of error handling logic, making it adaptive rather than statically complex.
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.