Publication | Closed Access
System-level power estimation tool for embedded processor based platforms
54
Citations
17
References
2014
Year
Unknown Venue
Hardware SecurityPower-aware ComputingEngineeringSmart GridEnergy ManagementEnergy EfficiencyPower EstimationComputer EngineeringComputer ArchitectureSystems EngineeringRisc ProcessorComputer ScienceEmbedded SystemsParallel ComputingPower-efficient ComputingPower ConsumptionPower-aware DesignPower-aware Software
Due to the ever increasing constraints on power consumption in embedded systems, this paper addresses the need for an efficient power modeling and estimation methodology based tool at system-level. On the one hand, today's embedded industries focus more on manufacturing RISC processor-based platforms as they are cost and power effective. On the other hand, modern embedded applications are becoming more and more sophisticated and resource demanding: multimedia (H.264 encoder and decoder), software defined radio, GPS, mobile applications, etc. The main objective of this paper focuses on the scarcity of a fast power modeling and an accurate power estimation tool at the system-level for complex embedded systems. In this paper, we propose a standalone simulation tool for power estimation at system-level. As a first step, we develop the power models at the functional level. This is done by characterizing the power behavior of RISC processor based platforms across a wide spectrum of application benchmark to understand their power profile. Then, we propose power models to cost-effectively estimate its power at run-time of complex embedded applications. The proposed power models rely on a few parameters which are based on functional blocks of the processor architecture. As a second step, we propose a power estimation simulator which is based on cycle-accurate full system simulation framework. The combination of the above two steps provides a standalone power estimation tool at the system-level.
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