Variable LDPC Iteration Control for Storage Read Throughput
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Solution Overview
Problem
Traditional error correction codes, such as LDPC, experience significant performance drops in read throughput when error rates exceed a certain threshold, leading to inefficiencies in data recovery and increased latency.
Innovation Solution
Implementing a variable iteration LDPC technique that adjusts the maximum number of iterations based on the type of read operation, allowing for earlier failure and quicker transition to alternative error correction methods when errors are detected, thereby optimizing read throughput across varying error rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional LDPC error correction codes are used with fixed iteration maximum, then data integrity is maintained through comprehensive error correction, but read throughput decreases significantly when error rates exceed the threshold due to excessive iterations
Solution Approach 1:
The patent applies dynamics by making the LDPC iteration maximum adjustable rather than fixed. The system dynamically adapts the iteration maximum based on read conditions and error rates, allowing it to decrease iterations when errors are detected (improving throughput) while maintaining sufficient iterations for data integrity when needed.
Solution Approach 2:
The patent changes the parameter of iteration maximum from a static value to a variable that can be adjusted based on operational conditions. By modifying this parameter dynamically, the system optimizes the balance between error correction capability and read throughput, avoiding the performance penalty of fixed high iteration counts.
2Reliability
If maximum LDPC iterations are performed to ensure error correction completeness, then data recovery reliability is improved, but latency increases due to the time required to complete all iterations
Solution Approach 1:
The patent applies partial action by performing only the necessary number of LDPC iterations rather than always executing the maximum. When errors are detected in early iterations, the system reduces the iteration count, avoiding unnecessary computational steps and reducing latency while still achieving sufficient error correction for data recovery.
Solution Approach 2:
The system dynamically adjusts the iteration maximum based on detected error conditions, allowing latency to be minimized when possible while maintaining data recovery reliability when needed. This dynamic adaptation resolves the contradiction between thorough error correction and timely data retrieval.
3Device complexity
If fixed iteration maximum is used for all read types, then implementation simplicity is maintained, but performance optimization across varying error rates is limited
Solution Approach 1:
The patent introduces dynamic adjustment of the iteration maximum based on read types and detected error conditions. This allows the system to optimize performance across varying error rates while maintaining a relatively simple implementation through predefined read types and conditional logic, rather than requiring complex adaptive algorithms.
Data Source
AI summary
Devices and techniques for variable read throughput control in a storage device are described herein. Bits from can be received for a read that is one of several types assigned to reads. A low-density parity-check (LDPC) iteration maximum can be set based on the type. LDPC iterations can be performed up to the LDPC iteration maximum and a read failure signaled in response to the LDPC iterations reaching the LDPC iteration maximum.