并行代码优化对计算机功耗的影响
Impact of parallel code optimization on computer power consumption
AI总结：
本文通过实验评估不同优化级别、策略及计算机体系结构对程序功耗的影响，发现源代码优化程序的平均功耗常达峰值，并验证了构建并行程序能耗画像的可行性。
摘要：
计算系统性能与功耗的提升要求更广泛地使用程序优化。执行优化的目标不仅是缩短程序运行时间，还包括降低功耗等其他计算机资源消耗。本研究旨在评估不同优化级别和各种优化策略对功耗的影响。在一系列实验中发现，经过源代码优化的程序，其平均功耗往往达到峰值。文章还描述了改变计算机体系结构对功耗曲线的影响，并通过示例程序考察了功耗平均值与中位数之间的关系。研究展示了为并行程序创建程序能耗画像的可能性。
英文摘要：
The increase in performance and power of computing systems requires the wider use of program optimizations. The goal of performing optimizations is not only to reduce program runtime, but also to reduce other computer resources including power consumption. The goal of the study was to evaluate the impact of different optimization levels and various optimization strategies on power consumption. In a series of experiments, it was established that the average power consumption tends to peak for the programs with optimized source code. The articles also describes the impact of changing computer architecture on power consumption graphs. The relationships between the average and median values of power consumption by example programs are considered. The possibility of creating program energy consumption profile for a parallel program is shown.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
