You may also be interested in the Energy-Efficient Software Guidelines
Download Energy-Efficient Software Criteria [PDF 132KB]
Checklist for creating software applications that is energy-efficient. The checklist is OS agnostic except where otherwise noted
For my third blog entry on the Intel® Energy Checker SDK, I will take on a two-part DIY and super fun project. I always wanted to extend the use of the SDK into my home and be able to monitor my personal energy consumption. As an engineer, I live by the motto: “you cannot manage what you cannot measure”. Isn’t the electric bill all about that, one may ask? Sure, it is a good year-to-year and month-to-month trend indicator and it will likely fit the needs of most of us for a while. However, using my bill, I cannot break down my energy consumption per function.
In my first blog entry, I showed how simple it was to improve the accuracy of the power draw reported by the Intel® Energy Checker SDK’s stock ESRV simulated device library. I also opened-up for a nice research project consisting of using various system-level data to model more precisely a host system’s power draw. Data such as processor load, memory and I/O usage, P-State or C-State residency are good candidates to explore.
