TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research

TACLeBench: A Benchmark Collection to Support Worst-Case Execution Time Research
复制标题

TACLeBench:支持最坏情况执行时间研究的基准集合

DOI:
10.4230/oasics.wcet.2016.2
复制
发表时间:
2016
期刊:
2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
影响因子:
--
通讯作者:
Simon Wegener
Simon Wegener
中科院分区:
--
文献类型:
--
作者:
H. Falk;S. Altmeyer;P. Hellinckx;B. Lisper;Wolfgang Puffitsch;Christine Rochange;Martin Schoeberl;R. B. Sorensen;Peter Wägemann;Simon Wegener

文献摘要

被引文献

相似文献

与工程相关的研究,例如对最差的执行时间的研究,使用实验来评估思想。对于这些实验,我们需要示例程序。此外,要使研究实验可重复进行,这些程序应公开可用。 我们收集了开源程序,将其调整为通用的编码样式,并以开源方式提供该系列。基准集合称为TacleBench,可在本文出版日期的1.9版中从Github获得。 TacleBench的主要特征之一是所有程序都是独立的,而没有对标准库或操作系统的任何依赖性。
Engineering related research, such as research on worst-case execution time, uses experimentation to evaluate ideas. For these experiments we need example programs. Furthermore, to make the research experimentation repeatable those programs shall be made publicly available. We collected open-source programs, adapted them to a common coding style, and provide the collection in open-source. The benchmark collection is called TACLeBench and is available from GitHub in version 1.9 at the publication date of this paper. One of the main features of TACLeBench is that all programs are self-contained without any dependencies on standard libraries or an operating system.