Dynamic Current Limit Adjustment for Multi-Engine Processor Power Management
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Solution Overview
Problem
Modern processors face inefficiencies in executing instructions, particularly complex ones like floating-point operations and load/store operations, which can slow down overall processor performance due to varying execution times and resource requirements.
Innovation Solution
The implementation of an out-of-order processor architecture with a power management system that dynamically adjusts current limits for individual execution engines, allowing for quick response to changing workload demands and optimizing pipeline throughput by prioritizing instructions and reducing frequency voltage when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If power management is designed for worst case dynamic load, then reliability is improved, but use of energy deteriorates
Solution Approach 1:
The patent implements dynamic current limit adjustment for individual execution engines based on real-time workload detection. The system transitions from static worst-case power management to dynamic adaptation, adjusting current limits up or down depending on actual instruction mix and workload intensity, thereby maintaining reliability while reducing unnecessary energy consumption.
Solution Approach 2:
The system changes the parameter of current limit dynamically for different execution engines based on workload characteristics. By monitoring the instruction mix and workload demands, the system adjusts current limits as a controllable parameter to optimize the trade-off between performance/reliability and power consumption, rather than maintaining fixed worst-case limits.
2Productivity
If current limits are adjusted dynamically for individual engines, then productivity is improved, but device complexity deteriorates
Solution Approach 1:
The patent divides the power management system into separate control domains for different execution engines (e.g., floating-point engine, load/store engine, integer engine). Each engine has its own current limit control, allowing independent optimization based on workload. This segmentation enables targeted productivity improvement for specific engine types without uniformly increasing system complexity.
Solution Approach 2:
The system implements self-service power management where the processor automatically monitors its own workload characteristics and adjusts current limits without external intervention. The workload detection logic and current limit adjustment form a self-regulating mechanism that improves productivity while managing complexity through automated control rather than complex external power management circuits.
3Use of energy by moving object
If frequency voltage is reduced when necessary, then use of energy is improved, but speed deteriorates
Solution Approach 1:
The system employs periodic monitoring of workload characteristics and dynamic adjustment of current limits and frequency-voltage settings. Rather than maintaining high frequency-voltage continuously, the system periodically assesses actual workload demands and adjusts performance parameters accordingly, reducing power consumption during low-demand periods while maintaining speed when needed.
Solution Approach 2:
The patent implements dynamic frequency-voltage adjustment coupled with current limit control. The system adapts frequency-voltage settings based on real-time workload detection, creating a dynamic performance profile that matches actual computational demands. This prevents unnecessary high-speed operation during low-workload periods, reducing energy consumption while maintaining execution speed when workload requires it.
Data Source
AI summary
A processor includes an execution engine and a power controller. The execution engine includes circuitry to determine an increased current for the execution engine. The power controller includes circuitry to determine a new dynamic capacitance for the execution engine based upon the increased current, calculate a new power consumption for the execution engine based upon the new dynamic capacitance, utilize the new power consumption to evaluate a new aggregate demand for power of a plurality of engines including the execution engine, and evaluate power provisioning of the processor based upon the new power consumption for the execution engine.