论文标题
VECMATK：科学模拟的可扩展验证，验证和不确定性定量工具包
VECMAtk: A Scalable Verification, Validation and Uncertainty Quantification Toolkit for Scientific Simulations
论文作者
论文摘要
我们提出了VECMA Toolkit（Vecmatk），这是一个灵活的软件环境，用于单件和多尺度模拟，介绍了直接适用且可重复使用的程序，用于验证，验证（V＆V），灵敏度分析（SA）和不确定性量化（UQ）。它使用户能够验证其应用程序的关键方面，系统地比较和验证模拟输出与观测或基准数据，并在从台式机到当前的多彼得萨斯卡尔计算机的任何平台上方便地运行仿真。在我们去年介绍的有关Vecmatk论文的续集中，我们着重于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七个不同领域的应用程序示例，例如冲突建模和环境科学。我们还为UQ/SA和V＆V提供了几种实施模式，并通过一个详细介绍Covid-19建模的示例来指导读者。
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 quantification (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, 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.
