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On the Interplay of Parallelization, Program Performance, and Energy Consumption

机译：并行化，程序性能和能耗之间的相互作用

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摘要

This paper derives simple, yet fundamental formulas to describe the interplay between parallelism of an application, program performance, and energy consumption. Given the ratio of serial and parallel portions in an application and the number of processors, we derive optimal frequencies allocated to the serial and parallel regions in an application to either minimize the total energy consumption or minimize the energy-delay product. The impact of static power is revealed by considering the ratio between static and dynamic power and quantifying the advantages of adding to the architecture capability to turn off individual processors and save static energy. We further determine the conditions under which one can obtain both energy and speed improvement, as well as the amount of improvement. While the formulas we obtain use simplifying assumptions, they provide valuable theoretical insights into energy-aware processor resource management. Our results form a basis for several interesting research directions in the area of energy-aware multicore processor architectures.
机译：本文得出了简单但基本的公式来描述应用程序的并行性，程序性能和能耗之间的相互作用。给定应用程序中串行和并行部分的比例以及处理器数量，我们得出分配给应用程序中串行和并行区域的最佳频率，以使总能耗最小化或使能量延迟乘积最小化。通过考虑静态功率与动态功率之比并量化增加架构能力以关闭单个处理器并节省静态能量的优势，可以揭示静态功率的影响。我们进一步确定在什么条件下可以获得能量和速度的改善，以及改善的程度。尽管我们获得的公式使用简化的假设，但它们为了解能源的处理器资源管理提供了宝贵的理论见解。我们的结果为能源敏感型多核处理器体系结构领域中几个有趣的研究方向奠定了基础。

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