2014 · 24 citations · 3 references
EngineeringComputer EngineeringComputer ScienceComputer ArchitectureEmbedded SystemsLow-power DesignDevice ScalingEnergy-efficient Embedded SystemsPower EstimationPower ManagementPower-aware DesignVoltage ScalingArea Overhead AnalysisEnergy-proportional ComputingFine-grained Power ManagementPower ConsumptionPower Consumption ModelingPower Management TechniquesPower-aware MicroarchitectureRun-time Power Management
ZYNQ devices combine a dual-core ARM Cortex A9 processor and a FPGA fabric in the same die and in different power domains. In this paper we investigate the run-time power scaling capabilities of these devices using of-the-shelf boards and proposed accurate and fine-grained power control and monitoring techniques. The experimental results show that both software and hardware methods are possible and the right selection can yield different results in terms of control and monitoring speeds, accuracy of measurement, power consumption, and area overhead. The results also demonstrate that significant power margins are available in the FPGA device with different voltage configurations possible. This can be used to complement traditional voltage scaling techniques applied to the processor domain to obtain hybrid energy proportional computing platforms.
3