EasyVVUQ:一个用于高性能计算的验证、验证和不确定度量化的库

Q1 Social Sciences Journal of Open Research Software Pub Date : 2020-04-29 DOI:10.5334/jors.303
R. Richardson, D. Wright, W. Edeling, V. Jancauskas, J. Lakhlili, P. Coveney
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引用次数: 33

摘要

EasyVVUQ是一个开源Python库(https://github.com/UCL-CCS/EasyVVUQ),旨在促进各种模拟的验证、验证和不确定度量化(VVUQ)。EasyVVUQ的目标是尽可能容易地为现有的应用程序代码或工作流实现高级VVUQ技术。我们的目标是以科学软件用户可以访问的方式展示这些功能,特别是在高性能计算机上运行的模拟代码。资助声明:我们感谢欧盟地平线2020研究和创新计划根据拨款协议800925(VECMA项目,www.VECMA.eu)和英国中尺度工程科学联合会(UK-COMES,http://www.ukcomes.org),EPSRC参考EP/L0030X/1。
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EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing
EasyVVUQ is an open source Python library ( https://github.com/UCL-CCS/EasyVVUQ ) designed to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations. The goal of EasyVVUQ is to make it as easy as possible to implement advanced VVUQ techniques for existing application codes or workflows. Our aim is to expose these features in an accessible way for users of scientific software, in particular for simulation codes running on high performance computers. Funding statement: We acknowledge funding support from the European Union’s Horizon 2020 research and innovation programme under grant agreement 800925 (VECMA project, www.vecma.eu) and the UK Consortium on Mesoscale Engineering Sciences (UK-COMES, http://www.ukcomes.org), EPSRC reference EP/L00030X/1.
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来源期刊
Journal of Open Research Software
Journal of Open Research Software Social Sciences-Library and Information Sciences
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
21 weeks
期刊最新文献
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