In this paper, the analysis puts emphasis on MPI parallel programming environment, the basic method of MPI parallel programming is given.
本文重点分析了MPI编程环境，并出给了MPI并行程序设计的基本方法。
Parallel Virtual Machines (PVM) were once a popular parallel programming platform for this, but lately MPI has become the DE facto standard for writing parallel programs for clusters.
并行虚拟机(PVM)曾经是一个非常流行的并行编程平台，但是最近MPI已经成为了为集群编写并行程序的事实标准。
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。
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。
PVM and MPI , which are popular parallel programming environments, will be integrated into the metacomputing system as the infrastructure of parallel computing.
PVM和MPI是广泛使用的并行编程环境，它们需要作为并行计算的基本构建而集成到元计算系统中去。
Message Passing Interface (MPI) is the most commonly used parallel programming model, and collective communications is an important part of the MPI standard.
消息传递接口（MPI）是最常用的并行编程模型，而群集通信又是MPI中的重要组成部分。
Message Passing Interface (MPI) is the most commonly used parallel programming model, and collective communications is an important part of the MPI standard.
消息传递接口（MPI）是最常用的并行编程模型，而群集通信又是MPI中的重要组成部分。
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