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Toward visual programming languages for steering scientific computations

机译:转向可视化编程语言以指导科学计算

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摘要

Imagine running a computationally intensive model and being able not only to visualize the data as soon as results start emerging, but also to experiment with and change the underlying calculations in midstream, all with a consistent visual interface. This scenario represents a marriage of these two areas: visual programming languages and steering. We classified these two areas of research in six dimensions to provide insights and to suggest future research directions. The first four measure how thoroughly a system fulfils significant attributes of the requirements of a scenario (which is presented). The fifth and sixth dimensions help clarify the advantages and disadvantages of different approaches by looking at the ways they use various programming paradigms. The dimensions are: the system's steering capabilities; the power and visual extent of the interface; the level of support for preexisting scientific application programs; system generality; the programming paradigm used for scientific programming; and the programming paradigm used for visualization and steering.
机译:想象一下,运行一个计算密集型模型,不仅能够在结果开始出现后就立即可视化数据,而且还能够在中间阶段使用一致的可视界面进行实验并更改中间的基础计算。这种情况代表了这两个领域的结合:可视化编程语言和指导。我们将这两个研究领域分为六个维度,以提供见解并提出未来的研究方向。前四个指标衡量系统完全满足场景要求的重要属性(已呈现)的程度。第五和第六个维度通过考察它们使用各种编程范例的方式来帮助阐明不同方法的优缺点。尺寸为:系统的转向能力;界面的功能和视觉范围;对现有科学应用程序的支持水平;系统通用性;用于科学编程的编程范例;以及用于可视化和控制的编程范例。

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