Cortex可视化系统的设计与实现

D. Banerjee, Chris Morley, Wayne Smith
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引用次数: 5

摘要

Cortex设计用于基于非结构化网格求解器的CFD应用程序生成的仿真数据的交互式分析和显示。与后处理可视化环境不同,Cortex被设计为与CFD应用程序在协同处理模式下工作。这大大减少了可视化的数据存储和数据移动需求,还允许用户交互式地引导应用程序。此外,Cortex通过在大规模并行计算机和工作站集群上运行来支持高性能。Cortex的一个重要目标是为不同解决方法和支持流模型的各种求解器提供可视化。再加上协同处理的要求,这就需要为CFD求解器开发一个定义良好的编程接口,使可视化系统能够有效地与求解器通信,并且需要最少的编程工作来移植到新的求解器。此外,针对多个求解器和应用领域的需求要求可视化系统能够快速、轻松地进行修改。在Cortex中,这种灵活性是通过使用高级解释语言Scheme来实现用户界面和高级可视化功能来实现的。通过在Cortex文本界面中提供Scheme解释器,用户还可以自定义和扩展可视化系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The design and implementation of the Cortex visualization system
Cortex has been designed for interactive analysis and display of simulation data generated by CFD applications based on unstructured-grid solvers. Unlike post-processing visualization environments, Cortex is designed to work in co-processing mode with the CFD application. This significantly reduces data storage and data movement requirements for visualization and also allows users to interactively steer the application. Further, Cortex supports high-performance by running on massively parallel computers and workstation clusters. An important goal for Cortex, is to provide visualization to a variety of solvers which differ in their solution methodologies and supported flow models. Coupled with the co-processing requirement, this has required the development of a well defined programming interface to the CFD solver that lets the visualization system communicate efficiently with the solver, and requires minimal programming effort for porting to new solvers. Further, the requirement for targeting multiple solvers and application niches demands that the visualization system be rapidly and easily modifiable. Such flexibility is attained in Cortex by using the high-level, interpreted language Scheme for implementing user-interfaces and high-level visualization functions. By making the Scheme interpreter available from the Cortex text interface, the user can also customize and extend the visualization system.<>
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