Dynamic Frequency Limiting Circuitry for Multi-Core Workload Prioritization
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Solution Overview
Problem
In multi-core computing systems, assigning a uniform maximum frequency limit to all processing cores results in a low baseline frequency, which does not account for varying workload criticality and intensity, leading to suboptimal performance and resource utilization.
Innovation Solution
Implementing a maximum frequency limiting circuitry that dynamically and adaptively sets maximum frequency limits for individual processing cores based on workload assignment, criticality, and requested frequencies, grouping cores into priority groups to allocate higher frequencies to critical cores and lower frequencies to non-critical cores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a uniform maximum frequency limit is assigned to all processing cores, then power and thermal constraints are maintained, but system performance is limited due to inability to prioritize critical workloads
Solution Approach 1:
The patent segments processing cores into different priority groups (first priority group and second priority group) based on workload criticality. Each group is assigned different maximum frequency limits, allowing critical workloads to receive higher frequency allocation while non-critical workloads operate at lower frequencies. This segmentation enables differentiated resource allocation that improves overall system performance without compromising thermal or power constraints.
Solution Approach 2:
The patent applies local quality by assigning different maximum frequency limits to different groups of processing cores based on their specific workload requirements. Critical cores in the first priority group receive higher frequency limits tailored to their performance needs, while non-critical cores in the second priority group operate at lower frequency limits. This localized optimization allows each core group to operate at appropriate frequency levels for its specific function.
2Speed
If higher frequency limits are assigned to critical processing cores, then task completion speed is improved, but power consumption and thermal generation increase
Solution Approach 1:
The patent implements dynamic frequency limit assignment where maximum frequency limits are adjusted based on real-time workload characteristics and system conditions. The frequency limits for different core groups are dynamically configured according to workload criticality and intensity, allowing the system to optimize performance during critical tasks while reducing power consumption during non-critical operations. This dynamic adaptation enables speed improvements when needed without sustained high power consumption.
Solution Approach 2:
The patent changes the frequency parameter selectively for different processing core groups based on workload requirements. By modifying the maximum frequency limit parameter for critical cores while maintaining lower limits for non-critical cores, the system achieves faster task completion for critical workloads without proportionally increasing overall power consumption. This selective parameter adjustment optimizes the speed-power tradeoff.
3Productivity
If dynamic frequency limit assignment is implemented, then resource utilization is optimized, but system complexity increases
Solution Approach 1:
The patent manages complexity by segmenting processing cores into distinct priority groups with clearly defined frequency limit ranges. This segmentation creates manageable categories (first priority group with higher frequency limits, second priority group with lower frequency limits) that simplify the frequency management logic compared to individual per-core optimization. The grouped approach reduces the complexity of frequency assignment while maintaining effective resource utilization.
Solution Approach 2:
The patent optimizes resource utilization through parameter changes in frequency limits while managing complexity by applying these changes at the group level rather than individual core level. The system adjusts maximum frequency limit parameters based on workload characteristics, achieving optimized resource allocation without the full complexity of per-core dynamic optimization. This group-level parameter management balances effectiveness with implementation complexity.
Data Source
AI summary
An apparatus system is provided which comprises: a first component and a second component; a first circuitry to assign the first component to a first group of components, and to assign the second component to a second group of components; and a second circuitry to assign a first maximum frequency limit to the first group of components, and to assign a second maximum frequency limit to the second group of components, wherein the first component and the second component are to respectively operate in accordance with the first maximum frequency limit and the second maximum frequency limit.