Dynamic Memory Power-Down Control Around Burst Refresh
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Solution Overview
Problem
Dynamic memory systems incur unnecessary power consumption due to frequent switching between normal and power down states, especially when power down operations coincide with auto-refresh operations, leading to increased energy usage.
Innovation Solution
A control method for dynamic memory that determines whether to activate a low power operation mode based on the time difference between a power down command and the next refresh operation, using a time threshold to optimize power savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the dynamic memory performs auto-refresh operation regularly to maintain data correctness, then data reliability is improved, but power consumption increases when switching between normal and power down states
Solution Approach 1:
The controller calculates the time difference between the power down command and the next refresh operation in advance. By predicting whether the memory can remain in power down state until the next refresh, the system avoids unnecessary wake-ups and reduces power consumption while maintaining data correctness.
Solution Approach 2:
The system dynamically adjusts the power down strategy based on the calculated time difference. When the time difference exceeds a threshold, the memory enters power down state; otherwise, it remains in normal operation. This dynamic adaptation optimizes the balance between power savings and data reliability.
2Use of energy by moving object
If the dynamic memory enters power down state to save power consumption, then power efficiency is improved, but the system must wake up for auto-refresh operations causing additional power consumption
Solution Approach 1:
The controller performs preliminary calculation of the time difference between power down command and next refresh operation. This advance assessment determines whether the memory can safely remain in power down state, avoiding unnecessary wake-ups and maximizing power down efficiency.
Solution Approach 2:
The system uses feedback from the calculated time difference to decide whether to activate power down mode. By continuously monitoring the time relationship between power down commands and refresh operations, the system optimizes power management efficiency.
3Adaptability or versatility
If the dynamic memory switches between normal operation and power down states frequently, then power management flexibility is improved, but unnecessary power consumption increases
Solution Approach 1:
The system dynamically determines the appropriate power down strategy based on real-time calculation of the time difference. This dynamic approach allows flexible power management while avoiding unnecessary state transitions that would increase power consumption.
Solution Approach 2:
The system changes the operational parameter (power down mode activation) based on the calculated time difference parameter. When the time difference exceeds the threshold, power down mode is activated; otherwise, normal operation continues. This parameter-based control optimizes the balance between flexibility and energy efficiency.
Data Source
AI summary
A dynamic memory and a control method for power down scheme are provided. The control method includes: receiving a power down command at a first time point; judging whether the first time point is in an operation period of a burst refresh operation; if the first time point is not in the operation period of the burst refresh operation: calculating a time difference between the first time point and a time point of a next refresh operation according to a second time point of a previous refresh operation and a refresh operation time interval, and determining whether to activate a low power operation mode of the dynamic memory according to the time difference.