QMView和game:集成到全球计算网格中

K. Baldridge, J. Greenberg, S. Elbert, S. Mock, P. Papadopoulos
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引用次数: 9

摘要

随着科学家转向基于网格的计算,高性能计算、存储、可视化和数据库基础设施的复杂性呈几何级增长。虽然这是很自然的,但由于利用基础设施需要时间,它的影响是将计算能力推到科学家无法企及的范围之外。如果科学家要有效地利用网络资源,隐藏网络资源的复杂性就变得至关重要。在这项工作中,我们描述了我们将各种计算化学组件集成到科学计算环境中的努力。我们简要地描述了我们对化学环境的各个组件所做的改进以及未来的方向,然后更深入地讨论了我们集成到基于web服务的网格工作流环境中的策略,该策略使用户能够访问远程资源,同时屏蔽网格基础设施的复杂性。还描述了一种用于存储从计算化学计算中获得的数据的初步模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QMView and GAMESS: Integration into the World Wide Computational Grid
High performance computing, storage, visualization, and database infrastructures are increasing geometrically in complexity as scientists move towards grid-based computing. While this is natural, it has the effect of pushing computational capabilities beyond the reach of scientists because of the time needed to harness the infrastructure. Hiding the complexity of networked resources becomes essential if scientists are to utilize them effectively. In this work, we describe our efforts to integrate various computational chemistry components into a scientific computing environment. We briefly describe improvements we have made to individual components of the chemistry environment as well as future directions, followed by a more in-depth discussion of our strategy for integration into a grid workflow environment based on web services, which enables access to remote resources while shielding users from the complexities of the grid infrastructures. A preliminary schema for storing data obtained from computational chemistry calculations is also described.
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