Task Urgency-Based Clock Speed Management
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Solution Overview
Problem
Current power management systems in computing devices face challenges in balancing power consumption and responsiveness, particularly for urgent tasks, as they often rely on timers and idle states that can lead to latency issues and unpredictability in handling interrupts.
Innovation Solution
The system incorporates task urgency information to adjust clock speeds and idle states dynamically, rescheduling timer interrupts and measuring exit latencies to ensure timely processing of critical tasks while minimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the system uses timers and idle states to reduce power consumption, then energy efficiency is improved, but timer interrupt latency and responsiveness to urgent tasks deteriorate
Solution Approach 1:
The system dynamically adjusts CPU frequency and idle state selection based on task urgency characteristics. The frequency management algorithm transitions between different operating points (frequency/voltage pairs) depending on whether tasks are background, normal, or real-time urgency, allowing optimal balance between power savings and responsiveness for each task type.
Solution Approach 2:
The system changes physical parameters (CPU frequency, voltage, idle state depth) based on task urgency classification. By adjusting these parameters dynamically according to task characteristics, the system achieves aggressive power management for low-priority tasks while maintaining high responsiveness for urgent tasks.
2Use of energy by moving object
If the system reduces clock speed to minimize power consumption, then energy efficiency is improved, but responsiveness and correctness for urgent tasks deteriorate
Solution Approach 1:
The system applies different quality levels of CPU performance to different tasks based on their urgency. High-urgency tasks receive full CPU frequency and priority handling, while low-urgency background tasks run at reduced frequencies, ensuring each task gets the appropriate level of service for its importance.
Solution Approach 2:
The frequency management system dynamically adapts CPU operating parameters based on the mix of task urgencies present in the system. When real-time tasks are detected, the system transitions to higher frequency states; when only background tasks are present, it maintains lower frequency states for power savings.
3Use of energy by moving object
If the system uses aggressive idle states to reduce power consumption, then energy efficiency is improved, but unpredictability and latency in handling interrupts worsen
Solution Approach 1:
The system performs preliminary classification of tasks by urgency before executing frequency management decisions. By identifying real-time tasks in advance and assigning them appropriate priority levels, the system ensures predictable interrupt handling while still allowing aggressive power management for non-critical tasks.
Data Source
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AI summary
A system and method are described for utilizing task urgency information when making power management decisions. For example, one embodiment of a method for managing power states of a processor comprises: executing a first power management state machine based on a first urgency level associated with a first task; detecting the execution of a second task having a second urgency level associated therewith; if the second urgency level is greater than the first urgency level, then executing a second power management state machine associated with the second urgency level.