The ability of scaling power and performance at run-time enables the creation of computing systems in which energy is consumed in proportion of the work to be done and the time available to do it. These systems favour active energy-efficient states in which useful computation is performed at low energy instead of using inactive energy savings modes that incur large latency and energy penalties to enter and exit modes in which the system is halted. This is particular useful in servers that spend

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... most of their time at around 30% utilization and are rarely fully idle or at maximum utilization. A feature of an energy proportional computing system is that it must exhibit a wide dynamic range with multiple levels of energy and performance available. In this context this paper investigates how these levels can be obtained in commercially available state-of-the-art 28 nm FPGAs and characterizes its benefits. Adaptive voltage and frequency scaling is employed to deliver proportional performance and power in these FPGA devices. The results reveal that the available voltage and frequency margins create a large number of performance and energy states with scaling possible at run-time with low overheads. Power savings of up to 64.98% are possible maintaining the original performance at a lower voltage.