文章基本信息

标题：Combining loop unrolling strategies and code predication to reduce the worst-case execution time of real-time software
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作者：Andreu Carminati ; Renan Augusto Starke ; Rômulo Silva de Oliveira 等
期刊名称：Applied Computing and Informatics
印刷版ISSN：2210-8327
电子版ISSN：2210-8327
出版年度：2017
卷号：13
期号：2
页码：184-193
DOI：10.1016/j.aci.2017.03.002
出版社：Elsevier
摘要：Worst-case execution time (WCET) is a parameter necessary to guarantee timing constraints on real-time systems. The higher the worst-case execution time of tasks, the higher will be the resource demand for the associated system. The goal of this paper is to propose a different way to perform loop unrolling on data-dependent loops using code predication targeting WCET reduction, because existing techniques only consider loops with fixed execution counts. We also combine our technique with existing unrolling approaches. Results showed that this combination can produce aggressive WCET reductions when compared with the original code.
关键词：Real-time systems ; Loop unrolling ; Worst-case execution time ; Predication