 In the highly parallel case, these guidelines are found to be even more important for fixing the optimal performance-energy operating point , especially when taking the system's baseline power consumption and the MPI communication characteristics into account. Simplistic measures often applied by users and computing centers, such as setting a low clock speed for memory-bound applications, have limited impact .
<meaning-changed>  In the highly parallel case, these guidelines are found to be even more important for fixing the optimal performance-energy operating point , especially when taking the system's baseline power consumption and the MPI communication characteristics into account. Simplistic measures often applied by users and computing centers, such as setting a low clock speed for memory-bound applications, have limited impact .
 In the highly parallel case, these guidelines are found to be even more important for fixing the optimal performance-energy operating point , especially when communication overhead is non-negligible. In our setup we could achieve energy savings of 35\% in this case, compared to a naive approach. We also demonstrate that a simple non-reflective reduction of the clock speed leaves most of the energy saving potential unused .