Load Manager for Low-Power Computational Efficiency
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Solution Overview
Problem
Classic design approaches for low-power environments, such as solar power systems, suffer from inefficiencies due to thermal losses from voltage regulation and non-optimal load-matching, leading to high costs and power losses, especially in variable power conditions.
Innovation Solution
A structure and method that includes a load manager to selectively control the operation of processing units based on determining an optimal point for maximizing computational efficiency, eliminating the need for voltage regulation by managing power and frequency in response to varying power sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If voltage regulation is used to output constant voltage, then voltage stability is improved, but thermal power loss increases and cost increases
Solution Approach 1:
The patent removes the voltage regulator component from the system entirely. Instead of regulating voltage to maintain stability, the system directly uses the variable voltage from the power source by dynamically adjusting processing unit operation to match available power, extracting only the necessary power characteristics without thermal loss.
Solution Approach 2:
The system transitions from static voltage regulation to dynamic power adaptation. The load manager continuously monitors available power and adjusts processing unit operation in real-time, allowing the system to adapt to variable power conditions without requiring voltage stability through regulation.
2Stability of the object's composition
If voltage regulation is used to output constant voltage, then voltage stability is improved, but cost increases
Solution Approach 1:
The patent eliminates the voltage regulator component from the bill of materials and assembly requirements. By removing this expensive component and replacing it with software-based power management, the system reduces manufacturing cost while maintaining functionality through dynamic adaptation.
3Device complexity
If classic design approaches are used, then simplicity is maintained, but computational efficiency is suboptimal
Solution Approach 1:
The system implements self-service power management where the load manager autonomously monitors available power and adjusts processing unit operation without external intervention. This self-regulating mechanism optimizes computational efficiency while maintaining design simplicity by using built-in monitoring and control capabilities.
Solution Approach 2:
The system incorporates feedback loops where the load manager continuously monitors available power from the variable power source and uses this information to dynamically adjust processing unit operation. This feedback mechanism enables optimal computational efficiency by matching processing demand to available power in real-time.
4Device complexity
If load matching is not optimized, then design simplicity is maintained, but power utilization efficiency decreases
Solution Approach 1:
The system implements dynamic load matching where the load manager continuously adjusts processing unit operation to match available power from the variable source. This dynamic adaptation maximizes power utilization efficiency by ensuring that processing demand always corresponds to available power without requiring complex static matching designs.
Data Source
AI summary
A method and structure to optimize computational efficiency in a low-power environment. A design structure is embodied in a machine readable medium used in a design process. The design structure includes a component to determine an optimal point for maximizing computational efficiency in a low-power environment, and a component to selectively control operation of at least one processing unit of a plurality of processing units in accordance with the determined optimal point. The design structure further includes at least one of a component for controlling a frequency of a clock signal transmitted to the at least one processing unit in accordance with the determined optimal point, and a component for determining a present power available.