科学网关——通过提高可用性来利用HPC基础设施中的建模和仿真

S. Gesing, R. Dooley, M. Pierce, Jens Krüger, Richard Grunzke, S. Herres‐Pawlis, A. Hoffmann
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引用次数: 5

摘要

高性能计算基础设施所必需的建模和仿真往往基于复杂的科学理论,并涉及跨学科的研究团队。IT专家支持高效访问HPC基础设施。他们设计、实现和配置模拟和模型,反映了领域研究人员开发和应用的复杂理论模型和方法。这种跨学科团队中的角色可能会根据计算资源和/或研究领域的知识和经验而重叠。例如,生物信息学家通常被训练成IT专家,同时还具有良好的生物学和化学知识,能够胜任地支持用户群体。领域研究人员主要不是IT专家,通过命令行使用HPC基础设施的要求通常对他们构成巨大障碍。因此,有必要增加HPC基础设施上的模拟和模型的可用性,以供用户社区采用。科学网关形成了一个解决方案,它提供了一个针对特定研究领域量身定制的图形用户界面,并提供了一个单一的入口点,用于隐藏底层基础设施的作业和数据管理。在过去的10年里,许多web开发框架、科学网关框架和具有不同重点和优势的api已经发展到支持科学网关的开发人员为目标研究领域实现直观的解决方案。为特定用例选择合适的技术是必要的,并且有助于减少通过重用现有软件或框架来实现科学网关的工作量。因此,可以更有效地为用户社区提供解决方案。本文详细介绍了科学网关概念和信息资源,给出了成功技术的例子,并提出了为用例选择技术的标准。
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Science gateways - leveraging modeling and simulations in HPC infrastructures via increased usability
Modeling and simulations, which necessitate HPC infrastructures, are often based on complex scientific theories and involve interdisciplinary research teams. IT specialists support with the efficient access to HPC infrastructures. They design, implement and configure the simulations and models reflecting the sophisticated theoretical models and approaches developed and applied by domain researchers. Roles in such interdisciplinary teams may overlap dependent on the knowledge and experience with computational resources and/or the research domain. Bioinformaticians, for example, are in general trained to act as IT specialists, while having also a good knowledge about biology and chemistry to support the user community competently. Domain researchers are mainly not IT specialists and the requirement to employ HPC infrastructures via command line often forms a huge hurdle for them. Thus, there is the need to increase the usability of simulations and models on HPC infrastructures for the uptake by the user community. Science gateways form a solution, which offer a graphical user interface tailored to a specific research domain with a single point of entry for job and data management hiding the underlying infrastructure. In the last 10 years quite a few web development frameworks, science gateway frameworks and APIs with different foci and strengths have evolved to support the developers of science gateways in implementing an intuitive solution for a target research domain. The selection of a suitable technology for a specific use case is essential and helps reducing the effort in implementing the science gateway by re-using existing software or frameworks. Thus, a solution for a user community can be provided more efficiently. This paper goes into detail for science gateway concepts as well as information resources, gives examples for successful technologies and proposes criteria for choosing a technology for a use case.
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