Error Index Code Circuit for Scalable Bit Error Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing Error Correction Codes (ECC) like Hamming and BCH codes face limitations in scalability and circuit complexity due to asymmetrical bit allocation, which restricts their application in high-performance computing and artificial intelligence systems requiring larger data volumes and complex data signal routing.
Innovation Solution
The Error Index Code (EIC) method and circuit utilize a hierarchical and modularized structure with (n+1)-bit encoders and XOR gates to generate redundancy data, reducing circuit complexity and enabling efficient error detection and correction for larger data volumes, particularly in systems like High Bandwidth Memory (HBM).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional Hamming or BCH codes are used for error correction, then error detection and correction capability is provided, but circuit complexity and routing complexity increase with larger data volumes
Solution Approach 1:
The patent divides the data stream into multiple segments and processes each segment independently through separate encoder circuits. This segmentation allows the system to handle large data volumes by breaking them into manageable chunks, reducing the complexity of any single encoding circuit while maintaining overall error correction capability across the entire data stream.
Solution Approach 2:
The patent introduces a hierarchical structure with multiple levels of encoding. The first level encodes individual data segments, and a second level encodes the concatenated results. This dimensional approach to error correction allows the system to scale to larger data volumes without proportionally increasing circuit complexity, as the same basic encoding circuits can be reused at different hierarchical levels.
2Reliability
If more redundancy bits are added to correct multiple-bit errors, then error correction capability is enhanced, but code rate decreases
Solution Approach 1:
By segmenting the data stream and applying error correction to each segment independently, the system achieves multiple-bit error correction capability across the entire data stream without requiring a proportional increase in redundancy bits for each individual bit. The code rate is maintained at efficient levels while providing robust error correction through the segmented approach.
Solution Approach 2:
The patent applies error correction codes selectively to segments rather than requiring full redundancy across the entire data stream. This partial application of error correction maintains high code rates while still providing effective error correction capability, as not all data positions require the same level of redundancy protection.
Data Source
AI summary
This invention details the Error Index Code (EIC) method and circuit designed to correct single-bit errors and detect double-bit errors during data transmission, processing, and storage. The EIC offers a scalable error correction solution with improved performance compared to Hamming code. Its hierarchical and modularized architecture simplifies data signal routing, minimizes latency, and enables predictable timing—providing an ideal ECC solution for high bandwidth applications.