PMU导向结构数据布局优化

IF 5.2 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Tsinghua Science and Technology Pub Date : 2011-04-01 DOI:10.1016/S1007-0214(11)70022-0
Jianian Yan (闫家年), Wenguang Chen (陈文光), Weimin Zheng (郑纬民)
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引用次数: 2

摘要

现有的结构数据布局优化的运行时反馈获取方法存在开销大、训练集组成困难等缺点。因此,结构数据布局优化并没有得到广泛的应用。为了克服这些缺点,开发了一种性能监视单元(PMU)采样方法,开销更小,可移植性和可用性更好。提出了一种校正PMU采样不完全和不准确的算法。与没有数据布局优化的设计相比,使用校正后的PMU反馈,结构数据布局优化器的性能提高了45.1%,而使用仪器反馈的性能提高了97.6%。PMU反馈的计算使执行时间增加了12.3%,而仪表反馈的开销为341.5%。实验表明,PMU反馈对结构数据布局优化是有效的。
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PMU Guided Structure Data-Layout Optimization

Existing methods of obtaining runtime feedback for structure data-layout optimization have several drawbacks, such as large overhead and difficulty composing training sets. As a result, structure data-layout optimization is not widely used. To overcome these drawbacks, a performance monitoring unit (PMU) sampling method was developed with much less overhead and better portability and usability. An algorithm was developed to correct incomplete and inaccurate PMU sampling. With the corrected PMU feedback, a structure data-layout optimizer achieved a 45.1% performance improvement compared to a design without data-layout optimization, which is 97.6% of the performance improvement achieved with instrumented feedback. Calculation of the PMU feedback increased the execution time by 12.3%, compared to the overhead for the instrumented feedback of 341.5%. Tests show that the PMU feedback is efficient and effective for structure data-layout optimization.

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CiteScore
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