Debugging-Plan für Energiespeichertechnologie
Energiespeicher dürften über den Erfolg und Misserfolg der Energiewende entscheiden. Doch welche Technologien kommen wofür infrage und welche Vor- und Nachteile bieten die einzelnen Entwicklungen?
What is energy debugging?
Energy debugging is now a circular development cycle where developers can use Energy Micro’s hardware and software tools together with EFM32 MCUs to achieve the lowest energy consumption in their applications (Figure 2). The developer can iteratively debug the code towards energy friendliness with instant feedback on the applied changes.
What is Energy Micro's advanced energy debugging tool?
These energy pitfalls can now be avoided with Energy Micro’s patent pending toolset for advanced energy debugging. The simple and affordable solution presented by Energy Micro enables developers to identify and remove energy bugs with a high degree of accuracy.
Can We automate the process of energy debugging?
Being able to automate the process of energy debugging would be vital to the future of energy-aware software development. Conventionally, execution time of applications is a commonly adopted proxy measure for software developers to identify the energy bottlenecks in their program code.
How important is time factor for energy debugging?
Energy consumption is simply the area below the current trace, so the smaller the area the smaller the energy drain. This is achieved by reducing the current consumption and the time the MCU takes to execute tasks. It is therefore easy to realize how important the time factor is for energy debugging.
How can software reduce energy consumption?
Software is not usually seen as an energy drain but every clock cycle consumes energy and minimizing this becomes a key challenge in order to reduce overall system consumption. Developers are now able to visualize the energy consumption of their systems and relate it to the software running on the microcontroller.
What is endebug & how does it work?
Our enDebug framework optimizes energy on compiler generated code and provides further energy reduction. Automated Code Optimization —As software inefficiency increasing becomes the dominant source of wasteful energy consumption, there is a strong urge to develop energy-aware program code.
