Abstract
In this work we investigate the effects of a workload's activity and its relation to the application's power requirements. We use the term memory to refer the number of bits altered when a write occurs as compared to the previous value of the target cell(s). Memory transitions require a definite energy and this has been confirmed in this study which shows that there exists a correlation between processor power and the amount of transitions. Using real power readings from running benchmarks on an Intel i7-3770 processor and comparing the results to the transition footprint shows that for certain applications the correlation between power and transitions is more pronounced than the correlation between power and the number of writes.
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