Challenges and Techniques for Reproducible Simulations

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computing in Science & Engineering Pub Date : 2024-02-15 DOI:10.1109/mcse.2023.3322127

Curran D. Muhlberger

引用次数: 0

Abstract

Too often, reproducibility is unnecessarily sacrificed in new simulation codes. We explore some ways in which this happens and provide recommendations for reclaiming it. Experience shows that robust bitwise reproducibility on a fixed runtime platform is a desirable and achievable target. The variety of threats considered suggests that maintaining a reproducible simulator to this degree requires vigilance, but, in addition to the usual benefits, the increased effort is rewarded on the software engineering front by enabling low-overhead techniques to detect bugs sooner and diagnose them faster.

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可重现模拟的挑战和技术

新的仿真代码往往不必要地牺牲了可重复性。我们探讨了出现这种情况的一些原因，并提出了恢复可重复性的建议。经验表明，在一个固定的运行平台上，稳健的位向可重复性是一个理想且可实现的目标。我们所考虑的各种威胁表明，要在这种程度上维护可重现性仿真器，就必须保持警惕，但是，除了通常的好处之外，增加的努力在软件工程方面也得到了回报，因为低开销技术可以更快地检测到错误，更快地诊断错误。

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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来源期刊

Computing in Science & Engineering 工程技术-计算机：跨学科应用

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Physics, medicine, astronomy -- these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering presents scientific and computational contributions in a clear and accessible format. The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. CiSE is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.