Debugging der Energiespeicherstationsausrüstung
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La JIT-Debugging in Windows 11 ist ein Prozess, der es Entwicklern ermöglicht, Codefehler in Echtzeit während der Ausführung einer Anwendung zu identifizieren und zu beheben. Der Begriff „JIT" steht für „Just-in-Time" und bedeutet, dass das Debuggen genau in dem Moment erfolgt, in dem ein Fehler erkannt wird. 2.
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.
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.
Can energy bugs be detected in a burn-in Test?
If these “energy bugs” are not spotted and solved during the development stage it is virtually impossible to detect them in field or burn-in tests. The most common way to track how much energy a system draws is by sampling the current over a certain period followed by averaging and extrapolation to longer time periods.