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As the people move to exascale machines, both peak power demand and total energy consumption have become prominent challenges. A significant portion of that power and energy consumption is devoted to cooling, which the authors strive to minimize in this work. They propose a scheme based on a combination of limiting processor temperatures using Dynamic Voltage and Frequency Scaling (DVFS) and frequency-aware load balancing that reduces cooling energy consumption and prevents hot spot formation. Their approach is particularly designed for parallel applications, which are typically tightly coupled, and tries to minimize the timing penalty associated with temperature control. This paper describes results from experiments using five different CHARM++ and MPI applications with a range of power and utilization profiles.
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