Dynamic Aggressor Queue Mitigation Threshold for Memory
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Solution Overview
Problem
Memory devices face challenges in managing aggressor queues effectively, leading to situations where the queue becomes full, necessitating controller intervention and reducing memory availability, due to the fixed mitigation threshold not adapting to the queue's fill level.
Innovation Solution
The mitigation threshold is dynamically adjusted based on the number of filled slots in the aggressor queue, increasing as the queue fills up, allowing for more lenient identification of aggressors when space is plentiful and stricter criteria when space is scarce, thereby reducing the likelihood of queue overflow and controller intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed mitigation threshold is used for aggressor identification, then the identification criteria remain consistent, but the queue becomes full more frequently requiring controller intervention
Solution Approach 1:
The patent applies dynamics by making the mitigation threshold adjustable rather than fixed. The threshold is dynamically modified based on the aggressor queue fill status - when the queue is nearly full, the threshold is increased to be more selective about which addresses are added, preventing queue overflow and reducing controller interventions.
Solution Approach 2:
The system implements feedback by monitoring the aggressor queue fill level and using this information to adjust the mitigation threshold. The threshold calculation incorporates the number of filled slots in the aggressor queue, creating a closed-loop control mechanism that adapts to current system conditions.
2Reliability
If the mitigation threshold is lowered to identify more aggressors, then more victim rows can be protected, but the queue fills up faster requiring more frequent controller intervention
Solution Approach 1:
The mitigation threshold is dynamically adjusted based on queue conditions. When the aggressor queue has available space, the threshold allows more aggressive identification of potential threats. When the queue is filling up, the threshold increases to be more selective, balancing protection needs with operational continuity.
Solution Approach 2:
The patent changes the threshold parameter based on queue fill level. The threshold is calculated as a function of the number of filled slots in the aggressor queue, transforming a static parameter into a variable one that adapts to system state, thereby balancing protection coverage with queue management.
3Productivity
If the mitigation threshold is increased to reduce queue fills, then fewer addresses are added to the queue, but victim rows in danger may not be refreshed in time
Solution Approach 1:
The threshold dynamically adapts to queue conditions rather than remaining fixed. This allows the system to maintain higher thresholds when needed for continuity while still providing adequate protection when queue capacity is available, resolving the trade-off between productivity and reliability.
Solution Approach 2:
The mitigation threshold parameter is changed based on the aggressor queue fill status. By making the threshold a function of queue occupancy, the system can adjust its selectivity in real-time, ensuring data integrity when capacity permits while maintaining operational continuity when the queue is full.
4Measurement precision
If a low mitigation threshold is used, then aggressors are identified more readily, but the aggressor queue becomes full requiring controller intervention
Solution Approach 1:
The detection sensitivity is dynamically adjusted through the threshold modification. When the aggressor queue has space, the threshold allows sensitive detection of potential aggressors. When the queue is filling up, the threshold becomes less sensitive to prevent overflow, thereby avoiding controller intervention delays.
Solution Approach 2:
The system uses feedback from the aggressor queue fill level to adjust the detection threshold. The threshold calculation incorporates the number of filled slots, creating a feedback mechanism that balances detection sensitivity with queue management to prevent overflow and controller interventions.
Data Source
AI summary
Apparatuses and methods aggressor queue mitigation based threshold. A memory device detects aggressor rows by changing a count value associated with the row when it is accessed and comparing the count value to a mitigation threshold. Identified aggressor rows are stored in an aggressor queue. The value of the mitigation threshold is set based on a number of addresses which are stored in the aggressor queue. For example the threshold may increase as the number of addresses in the queue increases.