Diva：一种用于现场可视化的声明式和反应式语言
Diva: A Declarative and Reactive Language for In-Situ Visualization
摘要：
在大规模科学模拟中，使用自适应工作流管理进行现场可视化和分析已经成为一个日益增长的趋势。然而，协调自适应工作流与传统的过程程序设计语言可能是困难的，因为系统流是由不可预测的科学现象，这往往出现在一个未知的顺序，并可以逃避事件处理。这使得自适应工作流的实现繁琐且容易出错。最近，反应式和声明式编程范式已经被认为是其他领域中类似问题的合适解决方案。然而，有一个缺乏的研究，以适应这些方法在原位可视化和分析。在本文中，我们提出了一种语言设计和运行时系统开发自适应系统，通过声明式和反应式编程范式。我们说明了如何使用我们的方法实现自适应工作流编程系统，并证明它与燃烧模拟的用例。
英文摘要：
The use of adaptive workflow management for in situ visualization and analysis has been a growing trend in large-scale scientific simulations. However, coordinating adaptive workflows with traditional procedural programming languages can be difficult because system flow is determined by unpredictable scientific phenomena, which often appear in an unknown order and can evade event handling. This makes the implementation of adaptive workflows tedious and error-prone. Recently, reactive and declarative programming paradigms have been recognized as well-suited solutions to similar problems in other domains. However, there is a dearth of research on adapting these approaches to in situ visualization and analysis. With this paper, we present a language design and runtime system for developing adaptive systems through a declarative and reactive programming paradigm. We illustrate how an adaptive workflow programming system is implemented using our approach and demonstrate it with a use case from a combustion simulation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
