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高性能计算

"高性能计算"的翻译和解释

例句与用法

  • With an average number of pcs in a lan being between 100 and 300 , this presents enormous potential computing power , especially if you re planning a high - perfomance computing cluster where the main focus is on gaining the highest speed
    一个局域网中pc的平均数目在100到300之间,这表明其中有巨大的潜在计算能力,特别是如果您正在规划一个主要目的是获得最高速度的高性能计算集群( hpc ) 。
  • While ogsi and grid core services are generally applicable to any distributed computing system , grid program execution class is unique to the grid model of distributed task execution that supports high - performance computing , parallelism , and distributed collaboration
    虽然ogsi和网格核心服务一般适用于任何分布式计算系统,但是网格程序执行类别是支持高性能计算、并行计算和分布式协作的分布式任务执行网格模型所特有的。
  • Fourthly , based on the researches and analysis of the background for high performance computing and network intrusion detection , then a parallel computing - based network intrusion detection system ( briefly pnids ) is proposed , and some corresponding high performance algorithms are designed
    4 )研究分析高性能计算与网络入侵检测相关背景,提出了一个基于并行计算网络入侵检测系统(简称pnids ) ,并给出相应的高性能算法。
  • Data mining is a field of multi - subjects , it includes the database technology , artificial intelligence , machine learning , nerve network , statistics , pattern identify , repository system , information acquiring , information searches and high capability compute
    数据挖掘是一个多学科领域,这些学科包括数据库技术、人工智能、机器学习、神经网络、统计学、模式识别、知识库系统、知识获取、信息检索、高性能计算和数据可视化。
  • With the development of computer technology and network technology , the distributed parallel computation environment that based on network become a new high performance calculation environment because of its high cost performance and big range , large quantity heterogeneous cluster system parallel computation
    随着计算机技术和网络技术的发展,以网络为基础的分布式并行计算环境以其较高的性能价格比和大范围、大数量异构机群并行成为新的高性能计算环境。
  • Fundamentally , both vector and scalar processors execute instructions based on a clock ; what sets them apart is the ability of vector processors to parallelize computations involving vectors such as matrix multiplication , which are commonly used in high performance computing
    从根本上来讲,向量处理器和标量处理器都是基于时钟周期来执行指令的;使它们产生区别的是向量处理器并行处理与向量有关的计算的能力(例如矩阵乘法) ,这在高性能计算中是非常常见的。
  • Along with the huge improvement and rapid progress of computer performance and network communicating technology , the development of application demands toward high - performance , large - scale , diversity and multi - function needs to connect the various high - performance computing resources , storage , data and other specific resources , which are geographically distributed and heterogeneous , via high speed network to establish collaborate high - performance computing and solve huge application problems cooperatively , hence the name wide - area high - performance meta computing technology , grid computing technology as well
    计算网格将地理上分布的、异构的各种高性能计算资源、存储资源、数据资源和其他特殊资源通过高速网络连接起来,实现高性能联合作业,共同完成大规模计算问题。这就需要网格服务提供一种通用的互操作手段,具有动态资源发现和组合能力。本文工作是国家自然科学基金项目“网格应用程序执行性能的实时监控和预报”的组成部分。
  • Apart from these , there are also similar projects in other places , such as the china grid , the european union data grid , the asia pacific grid , etc . in commercial operation , there is also application of grid computing where intensive computing or massive data analysis is required , for example , in using random state simulation to analyse complicated financial environment , optimising product design , and pharmaceutical research and production
    此外,其他地区亦有类同的项目,例如内地的中国国家高性能计算环境(亦称国家计算网格) ( chinagrid ) 、欧盟数据网格( europeanuniondatagrid ) 、亚太网格( asiapacificgrid )等。而在商业用途上如需密集计算或分析大量数据,亦有应用网格计算,例如利用随机事态模拟来分析复杂的金融环境,或优化某些产品的设计,以及药物研究和生产等。
  • In real applications , the gap between the applications ’ real performance and the machines ’ peak performance is widening . the performance analysis tool is needed to solve this problem and find out performance bottlenecks quickly . then users can develop high performance programs that execute efficiently on high performance computer
    在实际应用中,高性能计算领域面临实用性能与峰值性能差距日益增大的问题,因此需要构建并行程序性能分析工具,使得用户能够快速定位性能瓶颈,从而开发出高质量的并行代码,并在相应的高性能计算机上高效执行。
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