Methodologies and Performance Metrics to Evaluate Multiprogram Workloads

Vicent Selfa, J. Sahuquillo, Crispín Gómez Requena, M. E. Gómez
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引用次数: 3

Abstract

Multicore processors are dominating the microprocessor market and most research work has moved to this kind of processors. Multicore research methods are still immature and evolving from the single-threaded processor ounterparts. Three main research issues must be faced when evaluating performance and energy in multicores. First, multiple simulation methodologies are being applied to evaluate these systems, without being an agreement about which to use. Second, due to the nature of multiprogram workloads new performance metrics are required, different from those used in single-thread processors. Many metrics have been defined and distinct metrics are used across the published works. Finally, multicore processors are really complex systems which require from sophisticated and complementary (e.g. energy and performance) simulators. This paper pursues to help researchers face the three mentioned research issues. For this purpose, we compare these issues across 28 papers published in 2013 in top computer architecture conferences. Both analytical examples and experimental results are presented with the aim of providing some insights in multicore research.
评估多程序工作负载的方法和性能指标
多核处理器在微处理器市场占据主导地位,大多数研究工作都转向了这类处理器。多核研究方法还不成熟,是从单线程处理器发展而来的。在评估多核系统的性能和能耗时,必须面对三个主要的研究问题。首先,正在应用多种模拟方法来评估这些系统,但对于使用哪种方法尚无一致意见。其次,由于多程序工作负载的性质,需要新的性能指标,不同于单线程处理器中使用的性能指标。已经定义了许多度量标准,并且在已发表的作品中使用了不同的度量标准。最后,多核处理器是非常复杂的系统,需要复杂的和互补的模拟器(例如能量和性能)。本文旨在帮助研究者面对上述三个研究问题。为此,我们比较了2013年在顶级计算机架构会议上发表的28篇论文中的这些问题。本文给出了分析实例和实验结果,旨在为多核研究提供一些见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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