Decoder Correction Matrix Reset via Pre-Initialization
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Solution Overview
Problem
Existing decoding techniques in memory systems require initializing and reading correction matrices, which consume time and power, especially during the first iteration of decoding operations.
Innovation Solution
Generating a correction matrix comprising 0-bits without initializing the memory that stores the previous correction matrix, thereby bypassing the memory read operation and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the correction matrix is initialized and read from memory during decoding operations, then the decoding process can proceed with proper correction data, but time and power consumption increase significantly
Solution Approach 1:
The correction matrix is pre-initialized to a known state (e.g., all zeros) before the decoding operation begins. This preliminary action eliminates the need to read from memory during the first decoding iteration, as the matrix is already in the required initial state. Subsequent iterations can then read from memory without requiring re-initialization.
Solution Approach 2:
Instead of reading the correction matrix from memory during the first decoding operation, the system uses a pre-computed or pre-initialized copy of the matrix in a register or buffer. This copy is sufficient for the first iteration and eliminates the costly memory read operation, while still providing the necessary correction data.
2Reliability
If the correction matrix is initialized and read from memory during decoding operations, then the decoding process can proceed with proper correction data, but time consumption increases
Solution Approach 1:
The correction matrix is pre-initialized to a known state (e.g., all zeros) before the decoding operation begins. This preliminary action eliminates the need to read from memory during the first decoding iteration, as the matrix is already in the required initial state. Subsequent iterations can then read from memory without requiring re-initialization.
3Ease of operation
If the correction matrix is reset using traditional initialization methods, then the matrix is ready for decoding, but power utilization increases
Solution Approach 1:
The correction matrix is designed to be self-initializing through hardware logic that automatically sets the matrix to a known state without requiring external memory read operations. The matrix structure itself provides the initialization function, eliminating the need for separate initialization commands and reducing power consumption.
Data Source
AI summary
A decoding operation is performed by receiving a command to read a correction matrix comprising multiple bit-values from memory of a decoder. The decoding operation also includes, responsive to receipt of the command, generating, using circuitry of a decoder, a predetermined correction matrix comprising a same bit-value. The decoding operation further includes providing the predetermined correction matrix to a decision engine to perform the decoding operation.