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A basic-block power annotation approach for fast and accurate embedded software power estimation

机译:一种基本块功率标注方法,用于快速准确的嵌入式软件功率估算

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We propose a new power simulation technique that effectively considers dynamic program execution behaviors such as cache hit/miss or branch predicted/mis-predicted and achieves fast and accurate power estimation results. Traditionally, accurate software power estimation relies on slower fine-grained simulations while faster coarse-grained simulations often lead to inaccurate estimation results. We pre-characterize detailed circuit power consumption, pipeline and branch effects of each basic block for accuracy and then apply efficient instruction-set simulators to compute total software power consumption. The experimental result shows that our approach achieves over 200 MIPS performance with a less than 3% error rate.
机译:我们提出了一种新的功率仿真技术,该技术可有效考虑动态程序执行行为,例如高速缓存命中/未命中或分支预测/错误预测,并获得快速而准确的功率估算结果。传统上,准确的软件功率估计依赖于较慢的细粒度模拟,而较快的粗粒度模拟通常会导致估计结果不准确。我们预先确定每个基本模块的详细电路功耗,流水线和分支效应的准确性,然后应用高效的指令集模拟器来计算总软件功耗。实验结果表明,我们的方法可实现200 MIPS以上的性能,错误率不到3%。

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