Multi-core Processor Configuration Management for Power-Performance Trade-offs
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Solution Overview
Problem
Managing multi-core processors to balance performance and power consumption effectively is challenging, as existing methods fail to efficiently adjust processor core activation and frequency to meet varying performance demands while optimizing power usage.
Innovation Solution
A method and device that determine candidate processor configurations with higher or lower computing performance and power consumption, selecting the optimal configuration to update the active processor core number and frequency, allowing for dynamic adjustment to increase or decrease performance while considering power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If more processor cores are activated to increase computing performance, then the performance of the multi-core processor is improved, but the power consumption increases
Solution Approach 1:
The system dynamically adjusts the number of active processor cores and their operating frequencies based on real-time performance requirements and power constraints. The processor management method enables flexible reconfiguration of processor resources, transitioning between different operational states to optimize the balance between computing performance and power consumption.
Solution Approach 2:
The invention changes key operational parameters including the number of active processor cores, processor frequency, and power consumption thresholds. By adjusting these parameters dynamically, the system can adapt to varying workload demands while maintaining power efficiency, resolving the contradiction between performance and energy usage.
2Productivity
If processor frequency is increased to improve computing performance, then the computing performance is improved, but the power consumption increases
Solution Approach 1:
The system implements dynamic frequency scaling where processor frequency is adjusted in real-time based on workload demands and power availability. This allows the processor to operate at higher frequencies when performance is critical and at lower frequencies when power conservation is prioritized, resolving the trade-off between performance and energy consumption.
Solution Approach 2:
The invention dynamically modifies the processor frequency parameter along with core count and power thresholds. This multi-parameter adjustment strategy enables fine-grained control over the performance-power trade-off, allowing the system to optimize operational characteristics based on real-time conditions.
3Productivity
If the number of active processor cores is increased to meet performance demands, then the computing performance is improved, but the resource utilization efficiency decreases
Solution Approach 1:
The system activates only the necessary number of processor cores required to meet current performance demands, rather than keeping all cores continuously active. This partial action approach ensures that sufficient computing resources are available when needed while avoiding the waste of energizing unnecessary cores, thus resolving the contradiction between performance delivery and resource efficiency.
Solution Approach 2:
The processor management system automatically monitors performance requirements and independently makes decisions about core activation and frequency adjustment. This self-service mechanism ensures that computing resources are allocated efficiently based on actual needs without external intervention, minimizing resource wastage while maintaining required performance levels.
Data Source
AI summary
A management method for a multi-core processor includes determining a plurality of candidate processor configurations with computing performances greater than a current computing performance corresponding to a current processor configuration, in which each of the candidate processor configurations comprises an active processor core number and a processor frequency; selecting one of the candidate processor configurations according to power consumptions corresponding to the candidate processor configurations to serve as an updating processor configuration; and executing tasks according to the active processor core number and the processor frequency of the updating processor configuration.