Energy Management Unit for Data Processing Visibility
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Solution Overview
Problem
Current energy management techniques in data processing apparatuses lack detailed visibility into how data processing affects energy state, limiting optimization to coarse and simplistic algorithms.
Innovation Solution
An energy management unit generates detailed energy management information correlating energy state with data processing activities, allowing for more precise energy management by associating energy state with time, events, and instructions, and optimizing energy consumption based on performance criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If coarse and simplistic energy management algorithms are used, then device complexity is reduced, but measurement precision of energy state visibility deteriorates
Solution Approach 1:
The patent segments the energy management system into distinct functional units: an energy management unit that generates energy state information, trace logic that captures processing activities, and trace analysing logic that correlates the two. This segmentation allows each component to specialize in specific tasks, improving measurement precision without requiring the entire system to be complex.
Solution Approach 2:
The patent introduces trace logic as an intermediary component that bridges the gap between data processing activities and energy state information. This intermediary captures processing activities and enables correlation with energy consumption, providing detailed energy state visibility without requiring complex direct measurement mechanisms.
2Measurement precision
If detailed energy management information is generated, then measurement precision of energy state is improved, but device complexity increases
Solution Approach 1:
The trace logic component serves multiple functions: it captures processing activities, timestamps events, and enables correlation with energy state information. This multi-functionality reduces the need for separate specialized components, thereby limiting the increase in device complexity while achieving detailed energy state visibility.
Solution Approach 2:
The energy management unit generates energy state information autonomously based on its internal state, and the trace logic autonomously captures processing activities. This self-service capability reduces the need for external control mechanisms and complex coordination, limiting system complexity while providing detailed information.
3Productivity
If performance of data processing apparatus is increased, then productivity is improved, but use of energy increases
Solution Approach 1:
The patent implements dynamic energy management by continuously monitoring energy state information and processing activities, allowing the system to adaptively adjust performance levels. The correlation between energy state and processing activities enables real-time optimization, where performance can be increased when energy is abundant and reduced when energy is constrained, resolving the contradiction between productivity and energy use.
Solution Approach 2:
The system establishes feedback loops where energy management information is generated, correlated with processing activities through trace logic, and used to inform subsequent energy management decisions. This feedback mechanism enables the system to learn from past energy consumption patterns and optimize future performance, allowing productivity improvement while managing energy consumption effectively.
Data Source
AI summary
A data processing apparatus and methods are disclosed. The data processing apparatus comprises: data processing elements operable to process data; an energy management unit operable to generate energy management information indicative of an energy state of at least one of the data processing elements when processing said data; and logic operable to receive said energy management information and to generate energy management information items associating said energy state with the processing of said data. The information items can provide visibility of how the Energy State of the data processing elements vary in response to the processing of data. Providing this visibility of the Energy State can advantageously enable more detailed the energy management to be performed and the Energy State of the data processing elements to be optimized.