Continuous integration, delivery, and deployment for scientific workflows in Orlando Tools

S. Gorsky
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Abstract

The paper addresses issues of continuous integration in the development of scientific applications based on workflows (special case of distributed applied software packages) for heterogeneous computing environments. The preparation and carrying out of scientific computational experiments are often accompanied by intensive software modification. Thus, there is a need for the following stages: building, testing, debugging, and installation new versions of software in heterogeneous nodes of environment. These stages may take longer time overheads than computations themselves. The solution to this challenge lies in the use of tools for continuous integration of software. However, such tools require deep integration with the tools for the workflow development because of scientific workflow specifics. To this end, the paper describes the combination of the authors Orlando Tools framework for the development and use packages with the GitLab system that is widely used for continuous integration. Such combination significantly reduces the complexity of software continuous when developing and using packages.
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Orlando Tools中科学工作流的持续集成、交付和部署
本文讨论了在异构计算环境中基于工作流(分布式应用软件包的特殊情况)的科学应用程序开发中的持续集成问题。科学计算实验的准备和实施往往伴随着密集的软件修改。因此,需要进行以下阶段:在环境的异构节点中构建、测试、调试和安装新版本的软件。这些阶段可能比计算本身花费更长的时间开销。解决这一挑战的方法在于使用工具对软件进行持续集成。然而,由于科学的工作流特性,这些工具需要与工作流开发工具进行深度集成。为此,本文介绍了作者将Orlando Tools框架与广泛用于持续集成的GitLab系统相结合的开发和使用包。这样的组合在开发和使用包时显著降低了软件的复杂性。
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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