Memory Error Management System with Uniqueness Check
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Solution Overview
Problem
Existing memory error management systems waste resources and time on decoding duplicate errors, which can lead to delays in detecting unique errors and potential overflows, as they repeatedly decode corrupted memory channels containing recurring errors.
Innovation Solution
A memory error management system that includes a uniqueness check module and an error mask register to discard duplicate errors before decoding, using a channel arbitration module with multiple two-input encoders to efficiently identify and store only unique errors, reducing resource usage and time consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the memory error management system decodes all memory channels containing errors in each memory cycle, then all errors are detected and recorded, but time and resources are wasted on decoding duplicate errors, and unique error detection may be delayed
Solution Approach 1:
The system performs a preliminary uniqueness check before decoding memory channels. The uniqueness check module compares current error information with previously recorded errors in the database to identify duplicate errors beforehand. This preliminary action filters out duplicate errors before they reach the decoding stage, preventing wasted time and resources on redundant decoding operations while ensuring unique errors are processed timely.
2Reliability
If the memory error management system continuously decodes memory channels with duplicate errors, then error recording is maintained, but the probability of overflow for unique errors increases due to resource consumption
Solution Approach 1:
The uniqueness check module performs preliminary identification of duplicate errors by comparing current error data with the database before the decoding process. This filtering action ensures that only unique errors proceed to decoding and recording, maintaining error recording consistency for duplicates while preserving processing efficiency and capacity for unique errors.
Solution Approach 2:
The system extracts and separates duplicate errors from the stream of error information using the uniqueness check module. By identifying and isolating duplicate errors beforehand, the system removes them from further processing, allowing resources to be dedicated exclusively to unique errors and preventing overflow conditions.
3Reliability
If the memory error management system uses traditional decoding methods for all error channels, then comprehensive error management is achieved, but resource consumption increases significantly for duplicate errors
Solution Approach 1:
The system performs a preliminary uniqueness check before decoding to identify duplicate errors. This preliminary filtering action ensures that decoding resources are allocated only to unique errors that require processing, while duplicate errors are handled through simpler comparison operations against the database, significantly reducing overall resource consumption while maintaining comprehensive error management.
Solution Approach 2:
The system applies different processing quality levels to different error types. Duplicate errors undergo simple database comparison (lower resource consumption), while unique errors undergo full decoding and recording (higher resource consumption). This local differentiation of processing quality optimizes resource allocation based on the specific characteristics of each error type.
Data Source
AI summary
A memory error management system connected to memory channels for managing errors detected in corresponding memory devices includes a reporting table including a list of historically reported errors, a binary value representing the current error status of the memory channels, a uniqueness check module for checking whether a historically reported error is reappearing as a current error, an error mask register for generating a masked binary value representing unique current errors in the memory channels, and a channel arbitration module for decoding the channel identifiers of corrupted memory channels from the masked binary value and storing the decoded channel identifiers into the reporting table.