基于ARM平台的WMA软件解码器能耗优化

Optimization of WMA software decoder's energy consumption based-on ARM platform

在实现嵌入式软件能耗仿真的基础上,针对WMA开源解码程序在ARM平台上解码能耗高的问题,详细分析了编译器优化、源码优化、算法优化3种优化方案,同时将这3种优化方法应用于开源的WMA软件解码器中。将优化前后的WMA解码器分别对单、双通道的WMA文件进行解码验证比较。实验结果表明,经过优化的WMA解码程序在ARM平台上对单、双通道WMA文件解码的解码效率有了明显的提高,其中能耗下降程度皆高达90%以上。

Based on the implementation of embedded software energy consumption simulation, to the problem of WMA open source decoding code has high energy consumption when working on ARM platform, compiler optimization, source code optimization, algorithm optimization three optimization programs are proposed and analyzed in detail and they are applied to open WMA software decoder. The single and dual channel WMA file are tested and compared which is decoded by the WMA decoder that is optimized or not. The experimental results show that the decoding efficiency of optimized WMA decoder is improved significantly both of single and dual channel WMA file, the energy consumption is decreased more than 90% when working on ARM plat- form.