Ganga：一个用于计算任务管理和轻松访问网格资源的工具
Ganga: a tool for computational-task management and easy access to Grid resources
摘要：
在本文中，我们提出了计算任务管理工具Ganga，它允许的规格，提交，簿记和后处理的计算任务上广泛的分布式资源。Ganga的开发是为了解决科学项目中越来越常见的一个问题，即研究人员必须定期在不同的处理系统之间切换，每个系统都有自己的命令集，以完成他们的计算任务。Ganga为处理异构资源上的数据提供了一个同构环境。我们给出了高能物理的例子，演示了如何在本地系统上开发分析，然后透明地移动到网格系统来处理所有可用的数据。Ganga有一个API，可以通过交互式界面、脚本或GUI使用。通过插件系统在运行时提供有关任务或计算资源类型的特定知识，使新的开发易于集成。我们给出了一个概述的恒河架构，给出当前使用的例子，并演示了如何恒河可以在许多不同的科学领域。
英文摘要：
In this paper, we present the computational task-management tool Ganga, which allows for the specification, submission, bookkeeping and post-processing of computational tasks on a wide set of distributed resources. Ganga has been developed to solve a problem increasingly common in scientific projects, which is that researchers must regularly switch between different processing systems, each with its own command set, to complete their computational tasks. Ganga provides a homogeneous environment for processing data on heterogeneous resources. We give examples from High Energy Physics, demonstrating how an analysis can be developed on a local system and then transparently moved to a Grid system for processing of all available data. Ganga has an API that can be used via an interactive interface, in scripts, or through a GUI. Specific knowledge about types of tasks or computational resources is provided at run-time through a plugin system, making new developments easy to integrate. We give an overview of the Ganga architecture, give examples of current use, and demonstrate how Ganga can be used in many different areas of science.
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。
