Dynamic Processing Pipeline Power Control by Incoming Data Rate
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Solution Overview
Problem
Existing computing systems face inefficiencies in managing power consumption within processing units due to static power management, which does not adapt to varying data processing loads, leading to unnecessary energy usage and potential performance bottlenecks.
Innovation Solution
A dynamic power control mechanism in processing units that adjusts the power distribution among data processing pipelines based on the incoming data rate, utilizing a monitor to determine the data rate and a power controller to manage power accordingly, ensuring optimal power usage and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If static power management is used in processing units, then power distribution is simple and stable, but power consumption efficiency deteriorates due to inability to adapt to varying data processing loads
Solution Approach 1:
The patent implements dynamic power management by continuously monitoring the data rate of incoming data and adjusting the power state of processing pipelines accordingly. The system transitions from static to dynamic power control, where pipelines are powered up or down based on real-time data arrival rates, resolving the contradiction between power efficiency and system complexity.
Solution Approach 2:
The patent employs a feedback mechanism where the data rate monitor continuously measures incoming data rates and provides this information to the power management controller. This closed-loop feedback system enables adaptive power adjustment, improving power consumption efficiency while maintaining manageable complexity through automated control.
2Productivity
If all data processing pipelines are kept powered on, then processing capacity is maximized, but power consumption increases unnecessarily during low data rate periods
Solution Approach 1:
The patent applies partial action by powering on only the necessary number of processing pipelines based on current data rate requirements. Instead of keeping all pipelines continuously active, the system activates a subset of pipelines proportional to the data load, reducing power waste while maintaining adequate processing capacity.
Solution Approach 2:
The system dynamically changes the operational parameters of processing pipelines by adjusting their power states (on/off or different performance modes) based on the data rate parameter. This parameter change approach allows the system to optimize the balance between processing capacity and power consumption adaptively.
3Loss of energy
If power is reduced to processing pipelines, then energy efficiency is improved, but processing speed may deteriorate during high data rate periods
Solution Approach 1:
The patent implements dynamic adjustment of pipeline power states that responds to changing data rate conditions. During high data rate periods, the system automatically increases power to pipelines to maintain processing speed, while during low data rate periods, it reduces power to improve energy efficiency, thus dynamically resolving the speed-efficiency tradeoff.
Solution Approach 2:
The feedback mechanism monitors data rate conditions and adjusts pipeline power accordingly. When data rates increase, the feedback loop triggers power increases to prevent processing bottlenecks, while during low data rates, it triggers power reductions for energy efficiency, maintaining the optimal balance between speed and energy consumption.
4Use of energy by moving object
If dynamic power control is implemented, then power efficiency is optimized, but system complexity increases due to additional monitoring and control mechanisms
Solution Approach 1:
The patent achieves power efficiency improvements while limiting complexity growth by designing a power management system that can be integrated into existing processing unit architectures. The monitor and controller components perform multiple functions (data rate measurement, power state determination, pipeline control) that can be implemented using existing hardware resources, reducing the net increase in system complexity.
Data Source
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AI summary
Various example embodiments of a processing unit power control capability are presented herein. The processing unit power control capability may be configured to support dynamic power control within a processing unit that includes a set of data processing pipelines by dynamically controlling powering of the data processing pipelines. The processing unit power control capability may be configured to support dynamic power control within a processing unit that includes a set of data processing pipelines by dynamically controlling powering of the data processing pipelines based on a parameter indicative of an incoming data rate of data to the processing unit.