Energy-Aware GPU Programming at Source-Code Levels

To enhance the energy efficiency and performance of algorithms with Graphics Processing Unit (GPU) accelerators in source-code development, we consider the power efficiency based on data transfer bandwidth and power consumption in key situations. First, a set of primitives is abstracted from program statements. Then, data transfer bandwidth and power consumption in different granularity sizes are considered and mapped into proper primitives. With these mappings, a programmer can intuitively determine the power efficiency and performance in different running states of a thread. Finally, this intuition enables the programmer to tune the algorithm in order to achieve the best energy efficiency and performance. Using these power-aware principles, two Fast Fourier Transform (FFT) methods are compared. The mapping between power consumption and primitives is helpful for algorithm tuning in source-code levels.     

一种适用于TD-SCDMA无线终端的动态电源管理架构

针对以往单纯以DVS算法为中心的动态电源管理架构的不足，提出了一种改进的动态电源管理架构，此架构根据TD—SCDMA无线终端支持3G多媒体业务的特点，站在系统的角度上以策略框架为中心对嵌入式系统的不同组件(如CPU，存储器，外设等)进行行之有效的动态电源管理。通过TD—SCDMA无线终端上的实验表明，采用该架构后，系统平均能耗比没有采用电源管理时下降了50％，大大提升了无线终端的实际应用价值。