Memory Power Modes Using Usage Patterns to Balance Boot Time
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Solution Overview
Problem
Conventional memory systems inefficiently manage power consumption and boot times by selecting power modes based on idealized usage patterns, leading to inefficiencies that do not align with actual system activity.
Innovation Solution
A memory subsystem that adapts power modes based on tracked memory usage patterns, optimizing power consumption and boot times by shutting off devices during non-use and using standby modes during high-use periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If memory devices are kept in high power modes to reduce boot time, then boot time is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic power mode adjustment by continuously monitoring memory usage patterns and transitioning between power states (e.g., active, standby, off) based on actual usage conditions. The system dynamically determines optimal power modes rather than static configurations, resolving the contradiction between boot time and power consumption.
Solution Approach 2:
The system employs feedback mechanisms by tracking memory usage patterns over time and using this information to adjust power modes. The controller monitors actual usage behavior and adapts power management decisions accordingly, ensuring optimal balance between performance and energy consumption based on real-world conditions.
2Use of energy by moving object
If memory devices are shut off during non-use to reduce power consumption, then power consumption is improved, but boot time increases
Solution Approach 1:
The system performs preliminary actions by keeping memory devices in low-power standby states rather than completely shutting them off, preparing them for quick activation when needed. This preliminary maintenance of operational readiness allows the system to achieve low power consumption while maintaining acceptable boot times.
Solution Approach 2:
The patent uses dynamic power mode selection to adjust between complete shutdown and standby states based on predicted usage patterns. The controller dynamically determines the optimal state by analyzing historical usage data, ensuring the system wakes up quickly when needed while maximizing power savings during non-use periods.
3Device complexity
If conventional power mode selection is used based on idealized patterns, then device complexity is reduced, but adaptability to actual usage deteriorates
Solution Approach 1:
The system implements self-service by automatically learning and adapting to actual usage patterns without external intervention. The controller autonomously tracks memory usage, identifies patterns, and adjusts power modes accordingly, eliminating the need for complex manual configuration while achieving high adaptability to actual usage conditions.
Solution Approach 2:
The patent employs feedback loops where the system continuously monitors actual usage behavior, compares it with current power management strategies, and adjusts accordingly. This feedback mechanism enables the system to adapt to changing usage patterns automatically, resolving the contradiction between simplicity and adaptability.
Data Source
AI summary
Methods, systems, and apparatuses include receiving, by a memory subsystem, a power down notification. A memory usage pattern for the memory subsystem is retrieved in response to receiving the power down notification. A power mode is selected using the current time and the memory usage pattern. The selected power mode is enabled.