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A Combined Hardware-Software Approach for Low-Power SoCs: Applying Adaptive Voltage Scaling and Intelligent Energy Management Software

机译:低功耗SOC的组合硬件软件方法:应用自适应电压缩放和智能能量管理软件

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Increased functionality and performance demands are challenging System-on-Chip (SoC) designers to seek better methods for optimizing available battery power in portable applications. Key areas of exploration include dynamic voltage scaling and improved software algorithms for the control of power modes. Dynamic voltage scaling can be improved by adaptively monitoring hardware performance to minimize the applied supply voltage for any given clock frequency. While adaptive voltage scaling optimizes power use based on temporal environmental conditions, Intelligent Energy Management (IEM) algorithms optimize power consumption based on the dynamic workload of the processor. IEM software and hardware monitor the execution and communication characteristics of workloads and predictively set the performance of the processor to the level that minimizes energy use, while still meeting application deadlines. The combined use of adaptive voltage scaling and IEM provides the optimum trade-off between performance and battery life for portable devices.
机译:增加的功能和性能需求是挑战性的片上系统(SOC)设计人员,以寻求更好的方法,以优化便携式应用中的可用电池电量。勘探关键领域包括动态电压缩放和改进的电源模式控制软件算法。可以通过自适应地监控硬件性能来提高动态电压缩放,以最小化任何给定时钟频率的应用电源电压。虽然自适应电压缩放优化了基于时间环境条件的功耗,但智能能量管理(IEM)算法基于处理器的动态工作负载优化功耗。 IEM软件和硬件监视工作负载的执行和通信特性,并预测处理器的性能将处理器的性能设置为最小化能量使用的级别,同时仍会满足应用程序截止日期。自适应电压缩放和IEM的结合使用提供了便携式设备的性能和电池寿命之间的最佳折衷。

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