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Constructing Virtual Private Supercomputer Using Virtualization and Cloud Technologies

机译:使用虚拟化和云技术构建虚拟私人超级计算机

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One of efficient ways to conduct experiments on HPC platforms is to create custom virtual computing environments tailored to the requirements of users and their applications. In this paper we investigate virtual private supercomputer, an approach based on virtualization, data consolidation, and cloud technologies. Virtualization is used to abstract applications from underlying hardware and operating system while data consolidation is applied to store data in a distributed storage system. Both virtualization and data consolidation layers offer APIs for distributed computations and data processing. Combined, these APIs shift the focus from supercomputing technologies to problems being solved. Based on these concepts, we propose an approach to construct virtual clusters with help of cloud computing technologies to be used as on-demand private supercomputers and evaluate performance of this solution.
机译:对HPC平台进行实验的有效方法之一是为用户及其应用程序定制定制的自定义虚拟计算环境。在本文中,我们调查虚拟私人超级计算机,这是一种基于虚拟化,数据整合和云技术的方法。虚拟化用于从底层硬件和操作系统中抽象应用程序,而数据整合应用于存储在分布式存储系统中的数据。虚拟化和数据整合层都提供分布式计算和数据处理的API。结合,这些API将重点从超级计算技术转移到已解决的问题。基于这些概念,我们提出了一种在云计算技术的帮助下构建虚拟集群,以用作按需私人超级计算机并评估该解决方案的性能。

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