SSD Controller Soft-Decision Decoding Single Read Latency
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Solution Overview
Problem
Current SSD controllers face inefficiencies in error correction due to the need for additional reads and array accesses in soft-decision decoding, which increases latency, power consumption, and bandwidth costs, especially when dealing with hard-decode errors in flash memory systems.
Innovation Solution
The implementation of a method that generates soft-decision metrics from channel parameters obtained during a single hard decode read, eliminating the need for additional reads and array accesses, allowing for efficient soft-decision decoding of Non-Volatile Memory (NVM) without compromising error correction capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional reads and array accesses are performed for soft-decision decoding, then error correction capability is improved, but latency increases
Solution Approach 1:
The patent performs preliminary actions by obtaining channel parameters (such as signal-to-interference-plus-noise ratio estimates) during the initial hard decode read operation. These parameters are extracted and stored before soft-decision decoding is needed, eliminating the requirement for additional reads. The channel parameters are derived from the hard decode read data itself, allowing the soft decoder to use pre-prepared information for more accurate error correction without incurring extra access latency.
2Reliability
If additional reads and array accesses are performed for soft-decision decoding, then error correction capability is improved, but power consumption increases
Solution Approach 1:
The patent performs preliminary actions by obtaining channel parameters (such as signal-to-interference-plus-noise ratio estimates) during the initial hard decode read operation. These parameters are extracted and stored before soft-decision decoding is needed, eliminating the requirement for additional reads. The channel parameters are derived from the hard decode read data itself, allowing the soft decoder to use pre-prepared information for more accurate error correction without incurring extra access latency.
3Reliability
If additional reads and array accesses are performed for soft-decision decoding, then error correction capability is improved, but bandwidth usage increases
Solution Approach 1:
The patent performs preliminary actions by obtaining channel parameters (such as signal-to-interference-plus-noise ratio estimates) during the initial hard decode read operation. These parameters are extracted and stored before soft-decision decoding is needed, eliminating the requirement for additional reads. The channel parameters are derived from the hard decode read data itself, allowing the soft decoder to use pre-prepared information for more accurate error correction without incurring extra access latency.
4Loss of time
If channel parameters are obtained from a single read operation, then latency is reduced, but measurement precision of soft-decision metrics may be compromised
Solution Approach 1:
The patent applies parameter changes by using the obtained channel parameters (such as signal-to-interference-plus-noise ratio) to dynamically adjust and optimize the soft-decision metrics during decoding. The soft decoder uses these parameters to weight and interpret the read data more accurately, compensating for channel variations. This allows high-precision soft-decision decoding to be achieved from a single read operation, as the channel parameters enable the decoder to adapt to the specific channel conditions without requiring multiple reads for metric refinement.
Data Source
AI summary
A Solid-State Disk (SSD) controller performs soft-decision decoding with a single read, thus improving performance, power, and/or reliability of a storage sub-system, such as an SSD. In a first aspect, the controller generates soft-decision metrics from channel parameters of a hard decode read, without additional reads and/or array accesses. In a second aspect, the controller performs soft decoding using the generated soft-decision metrics. In a third aspect, the controller generates soft-decision metrics and performs soft decoding with the generated soft-decision metrics when a hard decode read error occurs.