Multi-Core Frequency Modulation via Stall Count and Power Limits
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Solution Overview
Problem
High performance computing (HPC) environments face significant power consumption challenges due to the limitations of single frequency and performance states across multiple cores, which restrict efficient power management and thermal control.
Innovation Solution
A system that modulates the frequency of individual cores in a multi-core environment based on assigned power limits and stall counts, using a phase locked loop (PLL) and core local power units (CLPU) to independently manage power and performance states, allowing for optimized power consumption and thermal management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single frequency and performance state is used across multiple cores, then device complexity is reduced, but power consumption efficiency deteriorates
Solution Approach 1:
The patent divides the multi-core system into independent frequency management units, where each core or tile can have its own frequency and performance state. This segmentation allows individual cores to be optimized for power efficiency based on their specific workload requirements, rather than forcing a single frequency across all cores. The segmentation enables fine-grained control over power consumption while maintaining manageable complexity through modular frequency management architecture.
2Use of energy by moving object
If individual core frequency modulation is implemented, then power consumption efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic frequency modulation for individual cores based on real-time workload conditions, power limits, and stall counts. The frequency of each core can change dynamically according to its specific needs, allowing the system to optimize power consumption efficiently. This dynamic approach is managed through sophisticated control logic that monitors multiple parameters and adjusts frequencies accordingly, balancing the increased complexity with significant power efficiency gains.
Solution Approach 2:
The patent employs feedback mechanisms where the frequency modulation of each core is based on monitored parameters including power limits, stall counts, and workload conditions. The system continuously monitors the state of each core and adjusts its frequency accordingly, creating a closed-loop control system. This feedback-driven approach enables intelligent frequency management that adapts to changing conditions, managing the complexity through automated control rather than static configurations.
3Device complexity
If single frequency solution is used, then thermal management is simplified, but power consumption optimization deteriorates
Solution Approach 1:
The patent applies local quality by allowing different cores to operate at different frequency and performance states based on their specific workload requirements and thermal conditions. Each core can be independently optimized for power efficiency while generating appropriate thermal characteristics. This local customization enables better overall thermal management across the multi-core system, as heat generation is distributed and managed according to actual usage patterns rather than uniform frequency allocation.
Data Source
AI summary
Systems and methods of enabling modulation of a frequency of a first core in a multi-core environment include logic to determine a power limit assigned to the first core, logic to determine a stall count of the first core, and logic to modulate the frequency of the first core based at least on the power limit assigned to the first core and the stall count of the first core. The first core is included in a first tile of a socket in the multi-core computer environment.