Energy Meter UI for CPU Wake Count and Utilization Metrics
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Solution Overview
Problem
High-performance computing systems consume significant power due to idle CPU states, despite energy-saving features, leading to inefficient energy management and increased energy consumption.
Innovation Solution
An energy meter user interface is provided to display application energy usage information, allowing developers to track CPU wake requests and energy utilization metrics, enabling effective management of sleep states and reducing unnecessary CPU wake-ups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the CPU enters low-power sleep modes to reduce energy consumption, then energy efficiency is improved, but the time required for the CPU to wake up and become fully operational increases
Solution Approach 1:
The patent implements a feedback mechanism where the system monitors CPU wake-up characteristics and adjusts sleep mode strategies accordingly. By tracking wake-up times and patterns, the system can optimize the balance between energy savings and wake-up performance, resolving the contradiction between reducing energy consumption and minimizing wake-up time penalties.
2Loss of time
If the CPU is kept awake to avoid frequent wake-ups, then wake-up time loss is reduced, but energy consumption increases
Solution Approach 1:
The patent employs dynamic adjustment of CPU sleep and wake strategies based on real-time workload analysis. The system dynamically determines optimal sleep modes and wake-up timing based on current system state, predicting when wake-ups are necessary versus when the CPU can remain idle, thus optimizing the trade-off between energy consumption and wake-up frequency.
3Use of energy by moving object
If more CPU cores are stopped to save energy, then energy consumption is reduced, but system readiness and responsiveness decrease
Solution Approach 1:
The patent applies local quality by differentiating between CPU cores and applying selective sleep strategies. Instead of uniformly sleeping all cores, the system determines which cores can safely enter sleep mode and which should remain active based on workload distribution, ensuring system readiness is maintained while maximizing energy savings from stopped cores.
Data Source
AI summary
User interfaces are provided that display application energy usage information to a user. Application energy usage information may be displayed as an energy meter user interface that provides derived information (e.g., power and time used to determine energy usage) that is not available through a traditional activity monitor. For example, energy usage information is provided for an application running in isolation, taking into account energy usage based on what the application is doing and not what the rest of the system is doing (e.g., shows CPU wakes in isolation of any other processes). Each of a series of energy bars is presented as an energy utilization metric that includes at least one of a utilization portion and a wake tax portion, combined to represent to represent total energy utilization.