Constacyclic ECC Decoder for Burst and Multi-Bit Memory Errors
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Solution Overview
Problem
Semiconductor memory devices, particularly volatile memory devices, face increased bit errors and reduced yield due to miniaturization, necessitating improved error correction methods that can handle both multi-bit and burst errors efficiently.
Innovation Solution
An error correction code (ECC) decoder using constacyclic code, incorporating a syndrome generator and burst error corrector, simultaneously corrects single burst errors and multi-bit errors by generating global and local syndrome data from input data, leveraging a parity check matrix.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional ECC decoding is used, then single bit errors can be corrected, but multi-bit errors and burst errors cannot be effectively handled
Solution Approach 1:
The parity check matrix is divided into multiple sub-matrices, and the syndrome generator is segmented to process different error types separately. The decoder is divided into a burst error correction unit and a multi-bit error correction unit, allowing specialized handling of different error patterns without requiring a complete redesign for all error types.
Solution Approach 2:
The ECC decoder is designed with multi-functionality to handle multiple error types including single bit errors, multi-bit errors, and burst errors. The syndrome generator can identify different error patterns, and the correction units are configured to address various error scenarios, making the system universally applicable to different error conditions.
2Productivity
If miniaturization is pursued to increase integration, then device density improves, but bit errors increase rapidly
Solution Approach 1:
The system incorporates beforehand cushioning by implementing robust ECC decoding that anticipates and prepares for error conditions. The syndrome generator and correction units are pre-configured to detect and correct errors before they propagate, providing a buffer against the increased bit errors that result from miniaturization effects.
3Reliability
If error correction capability is enhanced to handle multi-bit and burst errors, then reliability improves, but decoder complexity increases
Solution Approach 1:
The decoder complexity is managed through segmentation of the syndrome generator and correction units. Each segment handles specific error detection and correction tasks, allowing the complex functionality to be distributed across modular components rather than concentrated in a single complex unit.
Solution Approach 2:
Different parts of the decoder are optimized for specific error types. The burst error correction unit is specialized for correcting burst errors, while the multi-bit error correction unit handles multi-bit errors. This local quality approach allows each component to be relatively simple while the overall system achieves high reliability.
Data Source
AI summary
An error correction code (ECC) decoder includes a syndrome generator and a burst error corrector. The syndrome generator generates global syndrome data and local syndrome data using input data and a parity check matrix based on a constacyclic code. The burst error corrector corrects a correctable error included in the input data using the global syndrome data and the local syndrome data. The input data includes a plurality of data bits arranged along a first direction and a second direction. The ECC decoder simultaneously corrects a single burst error and a multi-bit error. The single burst error occurs on two or more symbols arranged along the first direction in the input data, and each symbol includes two or more data bits. The multi-bit error randomly occurs on two or more data bits in the input data.