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VECMAtk:用于科学模拟的可扩展验证、确认和不确定性量化工具包。

VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations.

机构信息

Department of Computer Science, Brunel University London, London, UK.

Centre for Computational Science, University College London, London, UK.

出版信息

Philos Trans A Math Phys Eng Sci. 2021 May 17;379(2197):20200221. doi: 10.1098/rsta.2020.0221. Epub 2021 Mar 29.

Abstract

We present the VECMA toolkit (VECMAtk), a flexible software environment for single and multiscale simulations that introduces directly applicable and reusable procedures for verification, validation (V&V), sensitivity analysis (SA) and uncertainty quantication (UQ). It enables users to verify key aspects of their applications, systematically compare and validate the simulation outputs against observational or benchmark data, and run simulations conveniently on any platform from the desktop to current multi-petascale computers. In this sequel to our paper on VECMAtk which we presented last year [1] we focus on a range of functional and performance improvements that we have introduced, cover newly introduced components, and applications examples from seven different domains such as conflict modelling and environmental sciences. We also present several implemented patterns for UQ/SA and V&V, and guide the reader through one example concerning COVID-19 modelling in detail. This article is part of the theme issue 'Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification '.

摘要

我们介绍了 VECMA 工具包(VECMAtk),这是一个用于单维和多尺度模拟的灵活软件环境,引入了可直接应用和可重复使用的验证、验证(V&V)、敏感性分析(SA)和不确定性量化(UQ)程序。它使用户能够验证其应用程序的关键方面,系统地将模拟输出与观测或基准数据进行比较和验证,并在从桌面到当前多千万亿次计算机的任何平台上方便地运行模拟。在我们去年发表的关于 VECMAtk 的论文的续集中[1],我们重点介绍了我们引入的一系列功能和性能改进,涵盖了新引入的组件以及来自冲突建模和环境科学等七个不同领域的应用实例。我们还介绍了 UQ/SA 和 V&V 的几个实现模式,并详细指导读者完成一个关于 COVID-19 建模的示例。本文是“计算科学中的可靠性和可重复性:实施验证、验证和不确定性量化”主题特刊的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9509/8059654/3194d94725bc/rsta20200221f01.jpg

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