• To compile MPI for the device type ch_p4mpd, use --with-device=ch_p4mpd.

    要为 ch_p4mpd设备类型编译MPI,请使用 --with-device=ch_p4mpd。

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  • Run the make command, which compiles the mpi code and makes it ready for installation.

    运行make命令,该命令将编译MPI代码并使之为安装做好准备。

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  • Linux runs on a wide variety of hardware, and high-quality compilers and other software like parallel filesystems and mpi implementations are freely available for Linux.

    Linux可以在很多硬件上运行,并且具有高质量的编译器和其他软件,例如并行文件系统和MPI实现在Linux上都是免费的。

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  • Your MPI environment is ready.

    MPI环境已准备就绪。

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  • Parallel benchmarks (for MPI systems only)

    并行基准测试(只针对 MPI系统)

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  • A message passing interface (MPI) manages this buffer.

    消息传递接口(MPI)管理此缓冲区。

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  • Support for HPC clusters and MPI, including debugging support

    支持HPC集群和MPI,包括调试的支持

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  • Main differences between threading with Shared memory and MPI?

    线程间共享内存和MPI的主要区别?

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  • The MPI also does a better job of uncovering long-term trends.

    MPI还对揭示长期趋势有很好的作用。

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  • New Shared memory MS-MPI implementation for multicore servers.

    为多核服务器提供最新的共享内存MS -MPI实现。

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  • Parallel programming using MPI to multiply a matrix by a vector.

    使用MPI进行并行编程来实现矩阵与向量的乘法。

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  • The MPI home page provides information on message-passing libraries.

    MPI主页提供了关于消息传递库的信息。

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  • The MPI code needs to be available in a temporary folder, such as /tmp.

    MPI代码需要能在临时文件夹中获得,如 /tmp。

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  • In order to uninstall MPI from your system, follow the steps listed below.

    要从系统中卸载mpi,请按照下面列出的步骤进行操作。

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  • PVM installation and configuration (if you want to use PVM instead of MPI).

    安装并配置PVM (如果希望使用 PVM,而不是MPI)。

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  • Support for developing MPI-based application including MPI cluster debugger.

    对开发基于MPI的应用程序的支持,包括MPI集群调试器。

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  • MPI parallel algorithm is also adopted in order to enhance computational efficiency.

    在计算中,采用了MPI并行算法,提高了计算效率。

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  • At this stage, MPI has been successfully installed on your machine — for example, n1.

    在此阶段,MPI已成功地安装到了计算机(如n1)上。

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  • We look at parallel programming using MPI and the basics of setting up a Linux cluster.

    我们将介绍如何使用MPI进行并行编程,以及构建Linux集群的基础知识。

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  • Any program that USES MPI API calls can now utilize the compute power of these machines.

    现在,任何使用MPIAPI调用的程序都可以利用这些计算机的计算能力了。

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  • Mpich is a software package that USES MPI and provides for efficient parallel computing.

    Mpich使用了MPI,是一个用于高效并行计算的软件包。

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  • There you have it. Within the MPI framework, four copies of the same process have been created.

    在mpi框架中,已经创建了相同进程的四个拷贝。

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  • Based on the characteristics of MPI, we implement the video encoding parallel algorithm using MPI.

    基于MPI的特点,我们用MPI来实现视频编码的并行算法。

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  • You can repeat the above steps for building and installing MPI on all the machines, such as n2 and n3.

    可以重复上面的步骤在所有的计算机(如n2和n3)上构建和安装mpi。

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  • MPI is one of the most popular standards used to program parallel applications based on message passing.

    MPI是目前应用最广泛的基于消息传递的并行程序编程标准之一。

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  • The first version was built primarily to support clustering, job scheduling, and MPI 2 based applications.

    HPC Server 2008的第一个版本主要着重于支持集群、任务计划以及基于MPI2的应用程序。

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  • The MPI API has several functions that you can apply directly to solve this problem, as shown in Listing 1.

    MPIAPI有多个函数可以直接解决这个问题,如清单1 所示。

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  • Later in this article, we'll set up an MPICH-based Linux cluster and see an example of an MPI-based program.

    在本文稍后的部分中,我们将构建一个基于MPICH的Linux集群,并来看一个基于MPI的程序例子。

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  • Boost MPI is not a stand-alone library in the sense that you download it, build it, and you are ready for work.

    BoostMPI不是一个单独的库,不能在下载和构建之后直接使用。

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  • MPI appears to be relatively dependent on changes in the diameter of ASD and pulmonary artery systolic pressure.

    房间隔缺损患者心肌工作指数与房间隔缺损直径、肺动脉收缩压呈正相关;

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