Processor Low-Power Hysteresis Control for Adaptive Power States
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Solution Overview
Problem
Existing processor power management systems face challenges in balancing processor performance and DC power consumption, particularly in low power modes, due to static hysteresis levels that do not adapt to varying usage scenarios, leading to inefficiencies in power consumption and performance.
Innovation Solution
Implementing a dynamic hysteresis level system that adjusts based on processor performance and input parameters such as radio access technology, RRC state, and concurrency levels, using a hardware-based framework to manage power states and incorporate error correction for optimal power management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static hysteresis levels are used in power management, then the system structure is simple, but processor performance and power consumption cannot be optimized for varying usage scenarios
Solution Approach 1:
The patent implements dynamic hysteresis levels that automatically adjust based on processor usage patterns and workload characteristics. Instead of fixed thresholds, the system continuously adapts hysteresis values to match current operational conditions, enabling optimal power-performance balance across diverse usage scenarios without requiring complex manual configuration
Solution Approach 2:
The power management system performs self-adjustment by monitoring its own operational state and automatically modifying hysteresis levels based on detected usage patterns. The system serves itself by identifying when to enter or exit low-power modes without external intervention, reducing the need for complex external control mechanisms while improving adaptability
2Loss of energy
If dynamic hysteresis adjustment is implemented, then power consumption optimization improves, but system complexity increases
Solution Approach 1:
The system incorporates feedback mechanisms that monitor processor activity, power consumption levels, and transition patterns. This feedback is used to continuously refine hysteresis levels, ensuring optimal power savings while avoiding excessive system complexity through targeted, data-driven adjustments rather than comprehensive system redesign
Solution Approach 2:
The patent optimizes power consumption by dynamically changing the hysteresis parameter based on operational conditions. By adjusting this single critical parameter rather than redesigning the entire power management architecture, the system achieves significant energy savings with minimal increase in overall system complexity
3Loss of energy
If frequent power state transitions occur, then power consumption reduces, but processor performance deteriorates
Solution Approach 1:
The system performs preliminary analysis of usage patterns and workload characteristics before making power state transition decisions. By anticipating future processor needs based on detected patterns, the system avoids premature transitions to low-power modes that would hurt performance, while still capturing power savings opportunities in advance
Data Source
AI summary
Aspects of the disclosure are directed to power management of a processor. In accordance with one aspect, the disclosure is directed towards monitoring a relationship between a performance of a processor and one or more hysteresis levels for generating a hysteresis feedback value based on the relationship; generating a corrected hysteresis level based on the hysteresis feedback value; and adjusting the corrected hysteresis level to generate an adjusted corrected hysteresis level.