文章基本信息

标题：Efficient Thread Mapping for Heterogeneous Multicore IoT Systems
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作者：Thomas Mezmur Birhanu ; Zhetao Li ; Hiroo Sekiya 等
期刊名称：Mobile Information Systems
印刷版ISSN：1574-017X
出版年度：2017
卷号：2017
DOI：10.1155/2017/3021565
出版社：Hindawi Publishing Corporation
摘要：This paper proposes a thread scheduling mechanism primed for heterogeneously configured multicore systems. Our approach considers CPU utilization for mapping running threads with the appropriate core that can potentially deliver the actual needed capacity. The paper also introduces a mapping algorithm that is able to map threads to cores in an time complexity, where is the number of cores and is the number of types of cores. In addition to that we also introduced a method of profiling heterogeneous architectures based on the discrepancy between the performances of individual cores. Our heterogeneity aware scheduler was able to speed up processing by 52.62% and save power by 2.22% as compared to the CFS scheduler that is a default in Linux systems.