Adaptive Current Budget Quantization for Fast Overcurrent Control
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Solution Overview
Problem
Modern computing devices face constraints on total current delivery due to increasing transistor counts and power demands, leading to inefficiencies in managing current budgets across subsystems, particularly with existing mechanisms that either throttle power or use Dynamic Voltage and Frequency Scaling (DVFS), which can be inefficient or slow to react.
Innovation Solution
The system employs a controller circuitry that dynamically adjusts hysteresis parameters and quantization levels to manage current budgets across subsystems, allowing for adaptive current control by tracking consumption and optimizing resource allocation through a combination of local and centralized decision-making, enabling efficient and timely adjustments to stay within the available current budget.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing mechanisms limit maximum expected current through throttling or DVFS, then current constraints are managed, but performance efficiency and response speed deteriorate
Solution Approach 1:
The patent implements dynamic current budget allocation that adapts to changing operational conditions in real-time. The system transitions from static current limits to dynamic budgets that are adjusted based on monitored current consumption patterns, allowing the system to optimize performance while maintaining reliability under varying load conditions.
Solution Approach 2:
The system continuously monitors current consumption across subsystems and uses this feedback to adjust current budgets dynamically. This closed-loop control mechanism enables the system to respond to actual operating conditions, preventing both over-current situations and unnecessary performance throttling, thereby resolving the contradiction between reliability and productivity.
2Use of energy by moving object
If DVFS is used to manage current budgets, then power consumption is reduced, but response time increases
Solution Approach 1:
The system proactively adjusts current budgets based on predicted operational phases and historical consumption patterns before current violations occur. By anticipating future current demands and pre-adjusting budgets, the system avoids the latency associated with reactive DVFS adjustments, thereby reducing response time while maintaining power efficiency.
Solution Approach 2:
Individual subsystems are empowered to manage their own current consumption within allocated budgets, making autonomous decisions about resource allocation. This distributed control mechanism eliminates the need for centralized DVFS coordination overhead, significantly reducing response time while achieving comparable or superior power management efficiency.
3Device complexity
If static current budgets are allocated to subsystems, then system simplicity is maintained, but adaptability to changing conditions deteriorates
Solution Approach 1:
The patent implements dynamic modification of current budget parameters based on operational phase detection and consumption pattern analysis. The system adjusts budget thresholds, allocation ratios, and monitoring intervals according to changing conditions, enabling high adaptability while maintaining relatively simple underlying allocation mechanisms through parameter tuning rather than structural complexity.
Data Source
AI summary
An apparatus is provided which comprises: a controller to allocate, to a component, a resource budget selected from a plurality of quantization levels; and a circuitry to adaptively update the plurality of quantization levels.