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SDN in high performance computing for scientific and business environment (SBE)

机译:科学和商业环境的高性能计算SDN(SBE)

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In recent scenario, need of computing is shifting towards High Performance Computing (HPC) not only for scientific applications but in commodity applications also. HPC cluster system allows HPC users to analyze and solve complex problems that are associated with large data size, such as big data simulation and big scale scientific simulation for quick analysis. It is highly required in the domain of science and industry for enhancing accuracy. Today, cluster system approach in demand for HPC systems rather than main frame system, cluster is a system of multi-core multiple computers interconnected in network. HPC apart from interconnect includes multiple standalone computers (PCs, Workstations, or SMPs) are based on processor technologies (like Intel, IBM P6, SUN SPARC etc.), RAM, and motherboard architecture, further operating systems, middleware, parallel programming environments enhance it. In this paper, key factors like processor micro architecture(Ivy Bridge, Haswell), inter-core communication performance, inter-socket communication performance (Quick Path Interconnect) and inter-rack communication through 10 Gbps and Infinband's DDR and FDR performance and challenges are reviewed to improve and meet businesses need with incorporating Software Defined Networking (SDN) in HPC scenario.
机译:在最近的情景中,需要计算,不仅用于高性能计算(HPC),不仅适用于科学应用,而且在商品应用中也是如此。 HPC群集系统允许HPC用户分析和解决与大数据大小相关的复杂问题,例如大数据仿真和大规模科学仿真,以便快速分析。科学与工业领域是强度要求的,以提高准确性。如今,群集系统方法对HPC系统而不是主框架系统,群集是在网络中互联的多核多台计算机系统。 HPC除互连外,包括多台独立计算机(PC,工作站或SMPS)是基于处理器技术(如英特尔,IBM P6,Sun Sparc等),RAM和主板架构,进一步的操作系统,中间件,并行编程环境增强它。在本文中,关键因素等处理器微架构(常春藤桥,哈斯韦尔),核心间通信性能,套筒间通信性能(快速路径互连)和通过10 Gbps和英语带的DDR和FDR性能和挑战的间歇通信都是审查以改进和满足企业需要在HPC方案中加入软件定义的网络(SDN)。

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