Critical Data Prioritization in Memory Systems During Manufacturing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manufacturing processes, such as soldering, introduce data errors in memory systems of mobile devices, potentially rendering them inoperable due to critical data errors, which existing technologies fail to address effectively.
Innovation Solution
A mechanism to identify and protect critical data blocks within memory systems by specifying address ranges and sizes, ensuring these data are stored in optimal locations to minimize error occurrence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If memory systems are programmed with data during manufacturing processes, then data is stored in memory devices, but data errors are introduced by manufacturing processes such as soldering
Solution Approach 1:
The patent segments data into critical and non-critical categories, applying different protection strategies to each. Critical data that cannot tolerate errors is separated from non-critical data, allowing targeted error prevention and correction mechanisms to be applied specifically where needed during manufacturing and operation.
Solution Approach 2:
The patent implements preliminary error detection and correction measures during the manufacturing process itself. By detecting and correcting data errors before the memory device is shipped to the customer, the system prevents defective devices from reaching end users, thereby maintaining high reliability without requiring post-manufacturing intervention.
2Reliability
If error correction is performed on all data blocks, then data reliability is improved, but processing time and complexity increase
Solution Approach 1:
The patent applies local quality by differentiating between critical and non-critical data blocks, applying error correction measures selectively rather than uniformly. Critical data blocks receive comprehensive error detection and correction, while non-critical blocks receive reduced or no correction, optimizing the balance between reliability and processing efficiency.
Solution Approach 2:
The patent implements partial error correction by focusing resources on correcting only the most critical data errors that would prevent device operation. Rather than attempting to correct all possible errors in all data, the system applies correction selectively to achieve sufficient reliability for device functionality with reduced processing overhead.
Data Source
AI summary
Methods, systems, and devices for techniques for priority information are described. A memory system may be configured to receive, at a memory system, an indication that data is critical to operating the memory system; receive the data that is critical to operating the memory system based at least in part on the indication; select one more parameters to provide a reliability of a storage of the data into a memory device of the memory system based at least in part on receiving the indication and receiving the data; and program the data into the memory device of the memory system using the one or more parameters based at least in part on selecting the one or more parameters.