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一个用于计算引导的实用工具包。

A practical toolkit for computational steering.

作者信息

Pickles S M, Haines R, Pinning R L, Porter A R

机构信息

Manchester Computing, University of Manchester, Manchester, UK.

出版信息

Philos Trans A Math Phys Eng Sci. 2005 Aug 15;363(1833):1843-53. doi: 10.1098/rsta.2005.1611.

Abstract

Computational steering refers to the real-time interaction of a scientist with their running simulation code. Despite the many benefits associated with computational steering, its uptake to date has been limited. In this paper we discuss the reasons for this and how the computational steering library and associated tools developed as part of the RealityGrid project aim to tackle them. We describe the functionality of the steering library and the use of Grid services in constructing a generic, dynamic architecture for discovering, steering and connecting visualization software to running simulations. The use of on-line visualization for providing feedback to the scientist is described, including the ways in which it may be enhanced through tools such as Chromium and Access Grid. Finally, we illustrate the flexibility of our approach by describing the functionality that has been added to various simulation codes as part of the RealityGrid project.

摘要

计算引导是指科学家与其正在运行的模拟代码进行实时交互。尽管计算引导有诸多益处,但迄今为止其应用仍然有限。在本文中,我们将探讨造成这种情况的原因,以及作为RealityGrid项目一部分开发的计算引导库和相关工具旨在如何解决这些问题。我们描述了引导库的功能,以及网格服务在构建用于发现、引导和将可视化软件连接到正在运行的模拟的通用动态架构中的应用。本文还描述了如何使用在线可视化向科学家提供反馈,包括如何通过诸如Chromium和Access Grid等工具对其进行增强。最后,我们通过描述作为RealityGrid项目一部分添加到各种模拟代码中的功能,来说明我们方法的灵活性。

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