Tiered Memory ECC Using Multi-Pass Error Recovery
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Solution Overview
Problem
Current memory devices face challenges in effectively correcting errors across different data states due to varying error correction capabilities and power consumption, especially in volatile and non-volatile memory systems, which can lead to inefficiencies in data retention and processing.
Innovation Solution
Implementing a tiered error correction code (ECC) system that progressively applies ECC operations, starting with low-latency and low-power first ECC operations, followed by iterative decoding using inner and outer codes, and finally utilizing soft data to correct errors, allowing for adaptive error correction based on a-priori information and hardware/firmware selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single strong ECC operation is used to correct all errors, then error correction capability is improved, but latency and power consumption increase
Solution Approach 1:
The ECC decoding process is segmented into multiple tiers or passes. The first pass uses a component code (e.g., BCH or LDPC) to correct errors quickly, and only if errors remain does the system proceed to a second pass with a stronger but more resource-intensive code (e.g., Reed-Solomon or another LDPC instance). This segmentation allows the system to achieve high error correction capability while minimizing average latency by avoiding the full strength operation when not needed.
Solution Approach 2:
The ECC system dynamically selects the appropriate decoding strategy based on the actual error conditions detected in the data. The controller assesses the error pattern and adaptively chooses whether to apply the lightweight first-pass correction alone or to escalate to the more robust second-pass correction, thereby optimizing the balance between reliability and latency for each specific data block.
2Reliability
If a single strong ECC operation is used to correct all errors, then error correction capability is improved, but power consumption increases
Solution Approach 1:
The ECC decoding process is segmented into multiple tiers or passes. The first pass uses a component code (e.g., BCH or LDPC) to correct errors quickly, and only if errors remain does the system proceed to a second pass with a stronger but more resource-intensive code (e.g., Reed-Solomon or another LDPC instance). This segmentation allows the system to achieve high error correction capability while minimizing average latency by avoiding the full strength operation when not needed.
Solution Approach 2:
The ECC system dynamically selects the appropriate decoding strategy based on the actual error conditions detected in the data. The controller assesses the error pattern and adaptively chooses whether to apply the lightweight first-pass correction alone or to escalate to the more robust second-pass correction, thereby optimizing the balance between reliability and latency for each specific data block.
3Reliability
If iterative decoding with multiple codes is used, then error correction capability is improved, but device complexity increases
Solution Approach 1:
The ECC decoding process is segmented into multiple tiers or passes. The first pass uses a component code (e.g., BCH or LDPC) to correct errors quickly, and only if errors remain does the system proceed to a second pass with a stronger but more resource-intensive code (e.g., Reed-Solomon or another LDPC instance). This segmentation allows the system to achieve high error correction capability while minimizing average latency by avoiding the full strength operation when not needed.
Solution Approach 2:
The controller includes built-in logic to automatically assess error conditions and select the appropriate decoding tier without external intervention. The system self-manages the complexity by having pre-programmed fallback mechanisms that only activate when needed, reducing the operational complexity during normal operation while maintaining high error correction capability when required.
Data Source
AI summary
Apparatuses and methods for performing an error correction code (ECC) operation are provided. One example method can include performing a first error code correction (ECC) operation on a portion of data, performing a second ECC operation on the portion of data in response to the first ECC operation failing, and performing a third ECC operation on the portion of data in response to the second ECC operation failing.