Memory Leakage Management in Semiconductor Evaluation Systems
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Solution Overview
Problem
Complex evaluation systems for semiconductor wafers and other manufactured items are prone to memory leakage due to the execution of multiple complex programs, making it difficult to predict and manage memory resource drainage, which can cause system failure, and customer usage data is not shared, hindering developer estimation of memory leakage occurrence.
Innovation Solution
A system with a memory leakage unit that selects and disables lower-priority features during a memory leakage event, based on priority information provided by developers and usage information, to manage memory leakage effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple complex programs are executed to evaluate manufactured items, then evaluation functionality and productivity are improved, but memory leakage occurs and system reliability deteriorates
Solution Approach 1:
The system dynamically changes the operational parameters of features by adjusting their priority levels and enabling/disabling them based on memory availability. When memory leakage is detected, the system changes the state parameter of lower-priority features from enabled to disabled, thereby reducing memory consumption while maintaining system functionality.
Solution Approach 2:
The system implements dynamic memory management by continuously monitoring memory usage and adapting feature execution accordingly. The memory leakage unit dynamically selects and disables features based on current memory conditions, transforming the static system into a dynamic one that can respond to changing memory requirements and prevent system failure.
2Adaptability or versatility
If memory resources are allocated to multiple concurrent programs, then evaluation capability is improved, but memory leakage drains memory resources and causes system failure
Solution Approach 1:
The system implements a feedback mechanism where the memory leakage unit continuously monitors memory usage patterns and usage information from the evaluation unit. Based on this feedback, the system automatically adjusts feature execution by disabling lower-priority features when memory leakage is detected, creating a closed-loop control system that prevents memory resource exhaustion.
Solution Approach 2:
The system discards execution of lower-priority features when memory leakage occurs, temporarily suspending their operation to recover memory resources. This allows the system to prioritize higher-priority evaluation tasks and recover sufficient memory to maintain system operation, with the possibility of re-enabling discarded features when memory conditions improve.
3Reliability
If customer usage data is not shared, then customer privacy is protected, but developer estimation of memory leakage occurrence becomes difficult
Solution Approach 1:
The system implements self-service memory management where the memory leakage unit autonomously monitors memory usage, detects leakage patterns, and manages feature execution without requiring external input or data sharing. The system uses its own internal usage information to make decisions, eliminating the need for customers to share usage data with developers while maintaining effective memory leakage management.
4Loss of energy
If lower-priority features are disabled during memory leakage, then memory resource usage is optimized, but evaluation functionality is reduced
Solution Approach 1:
The system applies partial action by selectively disabling only lower-priority features rather than all features. This partial suspension of functionality is sufficient to recover necessary memory resources while maintaining core evaluation capabilities through higher-priority features, achieving an optimal balance between memory conservation and functional preservation.
Data Source
AI summary
A system for evaluating manufactured items that includes a memory module; an evaluation unit configured to execute instructions related to the evaluating of the manufactured items while applying a group of features; and a memory leakage unit configured to: select a first feature out of the group of features and disable an execution, by the evaluation unit, of instructions associated with the first feature at a presence of a memory leakage event. The first feature has a priority that is lower than a priority of a second feature of the group of feature. Priorities of features of the group of features are determined based on (i) priority information provided by one or more developers of the instructions related to the evaluating of the manufactured item, and (ii) usage information indicative of usage of the features of the group of features by the evaluation unit.