Simple yet Efficient Deployment of Scientific Applications in the Cloud

Leyi Sun, Yifan Zhuo, O. Marin
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Abstract

Scientific applications can benefit greatly from getting deployed on a cloud computing platform, but such deployments require skills and expertise that are beyond the reach of many scientists. We address this issue with a framework that simplifies the process of writing cloud-ready scientific applications, and that automates their deployment and execution on top of cloud infrastructures. This paper presents (1) our domain-specific language whose syntax is simple to learn and use, and (2) our compiler that exploits potential data parallelism opportunities and handles load balancing automatically for the users. Our framework prototype demonstrates the feasibility of our approach, and our scalability analysis looks promising.
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在云中简单而高效地部署科学应用程序
科学应用程序可以从部署在云计算平台上获得极大的好处,但是这种部署需要的技能和专业知识超出了许多科学家的能力范围。我们用一个框架来解决这个问题,这个框架简化了编写云就绪科学应用程序的过程,并使它们在云基础设施之上的部署和执行自动化。本文介绍了(1)我们的领域特定语言,其语法易于学习和使用,(2)我们的编译器利用潜在的数据并行机会并自动为用户处理负载平衡。我们的框架原型证明了我们的方法的可行性,我们的可伸缩性分析看起来很有希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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