Heterogeneous Processor Task Migration by Core, Memory, and DMA Monitoring
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Solution Overview
Problem
Conventional computer systems face performance inefficiencies and increased power consumption when moving tasks between different processors due to reliance on operating system-level decisions.
Innovation Solution
Implementing fine-grained monitoring and relocation of tasks between processors based on metrics such as core utilization, memory utilization, and DMA data rate to optimize performance per power consumed by identifying optimal processor transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If operating system-level decisions are used to move tasks between processors, then task migration is achieved, but performance efficiency deteriorates and power consumption increases
Solution Approach 1:
A performance monitoring module is introduced as an intermediary between the processor and operating system to make fine-grained decisions about task migration. This intermediary monitors performance metrics and triggers task relocation to appropriate processors, avoiding the overhead of OS-level decision-making while optimizing both performance efficiency and power consumption
Solution Approach 2:
The system implements continuous feedback loops where performance metrics are monitored and used to dynamically adjust task placement decisions. The performance monitoring module tracks metrics such as processor utilization, power consumption, and task execution efficiency, then uses this feedback to determine optimal task migration timing and targets
2Productivity
If fine-grained tracking and decision making are implemented, then performance per power consumed is optimized, but system complexity increases
Solution Approach 1:
The system is segmented into distinct functional modules: a performance monitoring module that collects metrics, a decision-making module that analyzes the metrics and determines migration needs, and an execution module that performs task relocation. This segmentation allows fine-grained control while managing complexity through modular design
Solution Approach 2:
The performance monitoring module autonomously makes task migration decisions based on monitored metrics without requiring complex external control mechanisms. The system serves itself by automatically adjusting task placement to optimize performance per power consumed, reducing the need for complex external management
Data Source
AI summary
A method, system, and apparatus determines whether a task should be relocated from a first processor to a second processor by comparing performance metrics to associated thresholds or by using other indications. The task is relocated from the first processor to the second processor and executed on the second processor based on the comparing.