高性能应用的云计算环境研究

K. R. Sajay, S. Babu
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引用次数: 8

摘要

高性能应用需要高处理能力来计算研究、工程、医学和学术项目中高度密集和复杂的应用。在传统的方式中,组织将不得不支付非常高的成本来运行HPC(高性能计算)应用程序。组织必须购买非常昂贵的硬件来运行HPC应用程序并在之后维护它。公司内部的高性能计算资源可能不能满足科学应用的所有需求,资源可能不适合相应的要求。考虑到中小型企业的情况,不断增长的需求总是具有挑战性的。云计算是一种按需付费的模式,它以即时可用的方式提供可扩展的计算资源和无限的存储空间。本文包括云计算中HPC应用的需求、基于集群的HPC应用、集群的类型、Google的HPC云架构、各种HPC云供应商的性能分析以及四个HPC云应用的案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study of cloud computing environments for High Performance applications
High performance applications requires high processing power to compute highly intensive and complex applications for research, engineering, medical and academic projects. In the traditional way, an organization will have to pay very high costs to run an HPC (High Performance computing) application. The organization has to purchase highly expensive hardware for running an HPC application and maintaining it afterwards. The HPC resources on the company premises may not satisfy all the demands of scientific application where resources may not suitable for corresponding requirements. Considering the case of SMEs (small and medium enterprises), an increasing demand is always challenging. Cloud computing is an on-demand, pay-as-you-go-model, that offers scalable computing resources, unlimited storage in an instantly available way. In this paper we included requirements of HPC applications in cloud, cluster based HPC applications, types of clusters, Google's HPC Cloud architecture, performance analysis of various HPC cloud vendors and four case studies of HPC applications in cloud.
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