Control Circuit Optimizing Power Consumption in Processors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High-performance storage systems, such as those using NVMe devices, face significant power consumption challenges, leading to increased cooling costs in data centers and reduced battery life in mobile devices, necessitating effective power management to optimize performance within power limits.
Innovation Solution
A system comprising a processor, memories, and a control circuit that iteratively adjusts operating parameters to optimize power consumption below a set limit, using methods like the Nelder-Mead method to find optimal states quickly, allowing dynamic adjustment to varying power constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-performance SSDs with NVMe devices are adopted, then performance is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic power management by continuously monitoring power consumption and adjusting operating parameters in real-time. The system dynamically scales CPU frequency, memory voltage, and I/O operations based on current power conditions, allowing the system to adapt between high-performance and low-power states rather than operating at fixed levels.
Solution Approach 2:
The system changes multiple operating parameters simultaneously to control power consumption, including CPU frequency scaling, memory voltage adjustment, I/O operation throttling, and cache management. By modifying these parameters dynamically, the system can reduce power consumption while attempting to maintain acceptable performance levels.
2Use of energy by moving object
If power limit is reduced, then power consumption is controlled, but performance degrades
Solution Approach 1:
The system employs feedback control by continuously measuring actual power consumption against the power limit and adjusting operating parameters based on the difference. The control circuit monitors power usage and provides feedback to the processor and memory controller, which then adjust their operations to stay within the power budget while maximizing performance.
Solution Approach 2:
The system applies partial action by selectively throttling non-critical operations while maintaining full performance for critical tasks. When power limits are approached, the system reduces I/O operations, cache refresh rates, and background processes, while attempting to preserve performance for high-priority workloads.
3Use of energy by moving object
If iterative adjustment of operating parameters is performed, then power consumption is optimized, but system complexity increases
Solution Approach 1:
The system implements self-service power management where the control circuit autonomously monitors power consumption and adjusts operating parameters without requiring external intervention. The system serves itself by automatically detecting power conditions and making appropriate adjustments to CPU, memory, and I/O operations, reducing the need for complex external power management infrastructure.
Data Source
AI summary
An embodiment includes a system, comprising: a processor; a plurality of memories; and a control circuit coupled to the processor and the memories, and configured to: receive a power limit; measure a power consumption of the processor and the memories; and iteratively change a plurality of operating parameters of the processor and the memories to optimize an objective function associated with the system to operating states where the power consumption is less than or equal to the power limit.