Memory Device Error Flags for Retrieval Error Classification
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Solution Overview
Problem
Memory devices lack the ability to classify and indicate the type of errors detected during data retrieval, which affects system performance by preventing the requesting device from taking appropriate corrective actions.
Innovation Solution
Implementing error detection and correction mechanisms in memory devices that generate and transmit error flags to indicate the type of error detected, allowing the requesting device to take appropriate actions based on the error type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error detection and correction mechanisms are implemented in memory devices, then data reliability is improved, but the device complexity increases due to additional circuitry and processing requirements
Solution Approach 1:
The patent segments error detection and classification into distinct functional modules: error detection circuitry that identifies errors, error classification circuitry that categorizes error types, and separate transmission paths for data and error information. This segmentation allows the system to achieve comprehensive error handling while maintaining modular complexity that can be managed and optimized independently.
Solution Approach 2:
The patent introduces an intermediary error classification circuitry that acts as a mediator between the error detection mechanism and the requesting device. This intermediary component processes raw error signals, classifies them into meaningful categories, and transmits only the essential error type information to the requesting device, reducing the complexity burden on both the memory device and the host system.
2Productivity
If error type classification and indication is implemented, then system performance is improved by enabling appropriate corrective actions, but the loss of time increases due to additional error processing and transmission steps
Solution Approach 1:
The patent implements preliminary action by classifying errors into predefined categories during the error detection phase itself, rather than requiring complex analysis later. The error classification circuitry prepares error type indicators in advance as data is being read, so that when error information is transmitted to the requesting device, the classification work is already complete, reducing overall processing time.
Solution Approach 2:
The patent changes the parameter of error information from raw, detailed error signals to simplified error type categories. By transforming complex error data into standardized error type indicators (such as correctable vs. uncorrectable errors), the system reduces the amount of information that needs to be processed and transmitted, thereby reducing time loss while maintaining the ability to take appropriate corrective actions.
Data Source
AI summary
Methods, systems, and devices for error type indication are described. A memory device may detect an error while performing an error detection procedure for a codeword. The memory device may transmit to a host device one or more bits, which may be one or more error flags, that indicate the type of error detected by the memory device. By transmitting the one or more bits to a requesting device, for example a host device, the memory device may indicate the detected presence of a particular type of error in the set of data that is returned to the requesting device.