ECC Sub-Decoder Interleaving for Faster SSD Frame Decoding
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Solution Overview
Problem
Conventional non-volatile memory controllers with dedicated ECC decoders for each sub-code in SSDs operate inefficiently, as they decode frames sequentially, leading to prolonged data decoding times and underutilization of sub-decoders.
Innovation Solution
Implementing a system where ECC decoders are pooled and frames are interleaved and alternated between sub-decoders, allowing simultaneous decoding of multiple frames across different memory channels, thereby optimizing the use of sub-decoders and reducing overall decoding time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated ECC decoders are used for each sub-code in each memory channel, then data integrity and reliability are maintained, but decoding efficiency is reduced due to sequential operation and sub-decoder underutilization
Solution Approach 1:
The patent merges dedicated ECC decoders into pooled sub-decoders that serve multiple memory channels. Instead of having separate decoders for each channel, sub-decoders are consolidated into shared pools that can service multiple channels, enabling better resource utilization while maintaining error correction capabilities across all channels.
Solution Approach 2:
The patent implements dynamic frame allocation where sub-decoders can switch between processing frames from different memory channels based on availability. When one sub-decoder finishes processing, it dynamically picks up new frames from the pool, creating a flexible, adaptive system that maximizes decoder utilization without compromising data integrity.
2Measurement precision
If frames are decoded sequentially by sub-decoders, then decoding accuracy is maintained, but total decoding time increases
Solution Approach 1:
The patent ensures continuous utilization of sub-decoders by maintaining a pool of frames ready for processing. When a sub-decoder completes processing one frame, it immediately transitions to the next available frame without idle time. This continuous operation eliminates gaps in the decoding process, reducing total decoding time while maintaining accuracy through systematic processing.
Solution Approach 2:
The patent prepares multiple frames in advance and organizes them in a pool before decoding begins. Frames are pre-processed and staged so that when sub-decoders become available, they can immediately begin work without waiting for frame preparation. This preliminary organization enables parallel processing and reduces overall decoding time.
3Productivity
If sub-decoders are pooled and frames are interleaved across channels, then decoding throughput increases, but system complexity increases
Solution Approach 1:
The patent segments the decoding system into distinct sub-decoder units that can independently process frames. By dividing the overall decoding function into separate, modular sub-decoders, the system can process multiple frames in parallel while maintaining manageable complexity through clear separation of processing units and their associated frame pools.
Data Source
AI summary
Various implementations are directed to systems and methods for maintaining integrity and reliability of data in an SSD device using error correction coding. According to certain aspects, for frames of data having an ECC code with two or more sub-codes, while one sub-decoder is not in use it could be used to start a decode of another frame. By “interleaving” and alternating the frames between sub-decoders, two or more frames can be decoded simultaneously in an efficient manner. This can clearly be extended to more sub-codes (i.e. dimensions greater than two).