Processor Error Determination for Direct Medium-Particle Identification
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Solution Overview
Problem
Existing error detection methods in computer devices consume significant processing resources, especially when determining errors in multiple medium particles, leading to inefficiencies and resource wastage.
Innovation Solution
A processor-based error determining system that directly identifies the medium particle with errors using error information, bypassing resource-intensive calculations, and utilizes various interface circuits and buses to efficiently transmit and process error data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the processor performs error detection through calculation to determine the medium particle with errors, then the error detection accuracy is improved, but the processing resource consumption increases exponentially
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing syndrome values for all possible error patterns in a lookup table during system initialization. When error detection is needed, the processor directly queries the pre-computed table using the calculated syndrome as an index, rather than performing complex error analysis calculations in real-time. This transforms the error detection process from an intensive calculation task into a simple table lookup operation, resolving the contradiction between detection accuracy and resource consumption.
2Reliability
If the processor performs comprehensive error detection calculations across multiple medium particles, then the reliability of error determination is improved, but the detection time increases
Solution Approach 1:
The patent pre-computes syndrome values and their corresponding error patterns for all medium particles and stores them in a lookup table during system initialization. During operation, the processor calculates the syndrome for the current data and directly queries the pre-computed table to determine errors, eliminating the need for time-consuming real-time analysis calculations while maintaining comprehensive error detection capability across all medium particles.
3Difficulty of detecting and measuring
If the system uses traditional error detection methods with extensive calculations, then the error detection capability is improved, but the system complexity increases
Solution Approach 1:
The patent moves the computational complexity from the operational phase to the initialization phase by pre-computing all possible error syndromes and their corresponding error patterns, storing them in a lookup table. During normal operation, the system only needs to perform simple syndrome calculation and table querying, dramatically reducing the operational complexity while maintaining strong error detection capability.
Data Source
AI summary
An error determining method is applied to a processor included in the error determining system. The processor obtains error information, where the error information indicates a medium particle in which an error occurs in a plurality of medium particles. Then, the processor may determine, based on the error information, the medium particle in which the error occurs, and determine, without a calculation process that consumes a processing resource, the medium particle in which the error occurs.