集成元数据工具和数据服务存档,提供基于web的大规模科学模拟数据管理

V. Holmes, Wilbur R. Johnson, David J. Miller
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引用次数: 11

摘要

桑迪亚国家实验室正在开发和集成元数据工具系统和数据服务系统,以提供基于web的对高性能计算集群及其相关模拟数据的访问。这些集群承载了一组可扩展的后处理应用程序,用于非常大的数据操作,并检查由高保真模拟生成的结果,以支持设计分析过程,以确保国家核武器库存的安全性和可靠性。这项工作的主要主题是元数据工具与数据服务归档功能的集成,从而产生面向服务和基于web的体系结构,它为终端用户提供了从桌面管理和理解非常大、复杂问题的模拟结果的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating metadata tools with the data services archive to provide Web-based management of large-scale scientific simulation data
A metadata tool system and a data service system are undergoing development and integration, at Sandia National Laboratories, to provide Web-based access to high-performance computing clusters and its associated simulation data. These clusters host a set of scalable post-processing applications for very large data manipulation, and the examination of results generated by high-fidelity simulations in support of the design to analysis process for ensuring safety and reliability of the nation's nuclear weapons stockpile. The primary subject of this work is the integration of metadata tools with a data service archiving capability, resulting in a service-oriented and Web-based architecture, which provides end users the ability from their desktops to manage and understand simulation results for very large, complex problems.
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