Thread Scheduling Algorithm for Heterogeneous Processor Modules
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Solution Overview
Problem
Current operating system software is optimized for homogeneous systems-on-a-chip (SoCs) and fails to effectively manage thread scheduling in heterogeneous topologies, which are common in modern systems, leading to suboptimal performance and energy efficiency due to the lack of consideration for diverse hardware topologies and feedback mechanisms.
Innovation Solution
The proposed solution involves a thread scheduling algorithm that considers the heterogeneous module topology and hardware feedback to optimize thread allocation across diverse processors, prioritizing performance or energy efficiency based on thread quality, priority, and expected runtime, using hardware-guided scheduling enhancements to select the most suitable module for each thread.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If operating system software is optimized for homogeneous topologies, then software compatibility and ease of implementation are improved, but performance and energy efficiency on heterogeneous systems deteriorate
Solution Approach 1:
The scheduler dynamically adapts its behavior based on the detected hardware topology. It transitions from static homogeneous scheduling to dynamic heterogeneous scheduling by identifying available modules (cores, clusters, big.LITTLE configurations) and adjusting scheduling policies in real-time to match the actual hardware architecture, thereby optimizing performance without sacrificing compatibility
Solution Approach 2:
The system changes scheduling parameters based on detected hardware characteristics. By monitoring hardware feedback and topology information, the scheduler modifies scheduling parameters such as thread placement, module selection, and resource allocation to suit heterogeneous configurations, enabling optimal performance across diverse hardware platforms
2Device complexity
If thread scheduling ignores hardware topology and feedback, then system complexity is reduced, but performance optimization and energy efficiency deteriorate
Solution Approach 1:
The scheduler implements hardware feedback mechanisms that continuously monitor system state, module availability, and performance metrics. This feedback loop enables the scheduler to make informed decisions about thread placement and module selection, optimizing performance and energy efficiency while maintaining manageable complexity through automated adaptation
Solution Approach 2:
The scheduling system performs self-configuration by automatically detecting hardware topology and adapting its behavior without requiring manual intervention or complex configuration. The system serves itself by autonomously optimizing thread scheduling based on real-time hardware feedback, reducing the burden on system administrators while achieving performance optimization
3Speed
If threads are scheduled without considering module capabilities, then scheduling speed is improved, but system performance and energy efficiency deteriorate
Solution Approach 1:
The scheduler performs preliminary actions by pre-detecting and caching hardware topology information and module capabilities before thread scheduling begins. This advance preparation enables rapid scheduling decisions without real-time performance penalties, as the system has already gathered and processed hardware characterization data in advance
Data Source
AI summary
An apparatus, computer-implemented method, and system to schedule ready threads on a processor circuitry. T The apparatus includes memory circuitry, machine-readable instructions, and processor circuitry to determine a quality of a first thread of a set of threads that are ready for scheduling on the processor circuitry. Based on the quality of the first thread, the apparatus finds a set of modules of the processor circuitry that are available for scheduling. The apparatus further selects a preferred module of the set of modules for the first thread. The apparatus then schedules the first thread to run on the preferred module.