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Power-Aware Software Prefetching

机译:电源感知软件预取

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摘要

Some traditional optimizations improve the performance of pro-cessors, but consume the higher power dissipation. We study this trade-off using software prefetching as performance-oriented optimization technique. We first demonstrate that software prefetching provides a significant performance boost with the higher power on several memory-intensive benchmarks. However, when we combine software prefetching with dynamic voltage/frequency scaling (DVFS), the performance gain can be achieved without power increase, which is called a power-aware approach. Besides reducing power dissipation through DVFS, we also improve the performance through adjusting the prefetch distance. A modified SimpleScalar/Wattch is used to evaluate our power-aware software prefetching. Experimental results show this optimization approach is effective to guarantee no power increase due to prefetching and improve the performance of software prefetching.
机译:一些传统优化改善了Pro-Cessors的性能,但消耗了较高的功耗。我们使用软件预取作为面向性的优化技术来研究此权衡。我们首先展示软件预取提供了显着的性能提升,具有更高的电源对几个内存密集型基准。但是,当我们将软件预取与动态电压/频率缩放(DVFS)相结合时,可以在没有电源增加的情况下实现性能增益,这被称为功率感知方法。除了通过DVF减少功耗之外,我们还通过调整预取距离来提高性能。修改的SimporAscalar / Wattch用于评估我们的电源感知软件预取。实验结果表明,这种优化方法是有效的,因为预取和提高软件预取的性能没有功率增加。

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