CRC Comparison for Memory Error Cause Identification
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Solution Overview
Problem
Existing memory systems struggle to accurately determine the cause of cyclic redundancy check (CRC) errors, which can lead to inefficient and ineffective error correction techniques.
Innovation Solution
The implementation of a system where both the host system and the memory system compare CRC values associated with data to determine the cause of CRC errors, allowing for more granular error detection and efficient corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the memory system transmits additional CRC values to the host system for error cause determination, then the error detection precision is improved, but the communication overhead and transmission time increase
Solution Approach 1:
The error detection process is segmented into multiple stages: the memory system performs initial CRC verification and identifies error causes, then transmits only relevant diagnostic information (such as error cause indicators or differential CRC values) to the host system. This segmentation allows precise error detection at the memory system level while minimizing communication overhead to the host system.
2Reliability
If the system implements granular error cause determination through CRC comparison, then the reliability of error correction is improved, but the device complexity increases
Solution Approach 1:
The memory system autonomously performs CRC value comparison and error cause determination without requiring complex host system intervention. The memory system self-diagnoses error causes by comparing transmitted CRC values with recalculated values, and self-determines whether errors occurred during data transmission, storage, or retrieval. This self-service approach improves error correction reliability while avoiding the need for complex distributed verification systems.
3Measurement precision
If the memory system recalculates and compares CRC values internally, then the error cause identification accuracy is improved, but the processing time and energy consumption increase
Solution Approach 1:
The memory system performs CRC value recalculation and comparison during the data write or read operations, before error conditions manifest or require host system intervention. By preliminarily determining error causes during normal operational cycles, the system achieves high error identification accuracy without requiring separate energy-intensive diagnostic operations when errors occur.
Data Source
AI summary
Methods, systems, and devices for cyclic redundancy check (CRC) comparison for error detection are described. A host system may determine an error cause associated with writing data to or reading data from a memory system. For writing data, the host system may transmit data and a CRC value to the memory system. The memory system may calculate another CRC value and indicate an error and the calculated CRC value based on the received and calculated CRC values being different. The host system may compare the calculated CRC value and the originally transmitted CRC value to determine an error cause. For reading data, the host system may receive data and an associated CRC value from the memory system, calculate a CRC value using the received data, and determine an error cause based on a comparison of the received CRC value, the calculated CRC, and an expected CRC value.