分布式与并行计算报告

并行计算技术与其应用简介XX（XXX， XX，XXX）摘 要： 并行计算是实现高性能计算的主要技术手段。在本文中从并行计算的进展历程开始介绍，总结了并行计算在进展过程中所面临的问题以与其进展历程中出现的重要技术。通过分析在当前比较常用的实现并行计算的框架和技术，来对并行计算的现状进行阐述。常用的并行架构分为 SMP（多处理系统）、NUMA （ 非 统 一 存 存 储 ） 、 MPP （ 巨 型 并 行 处 理 ） 以 与 集 群 。 涉 与 并 行 计 算 的 编 程 模 型 有MPI、PVM、OpenMP、TBB 与 Cilk++等。并结合当前讨论比较多的云计算和大数据来探讨并行计算的应用。最后通过 MPI 编程模型，进行了并行编程的简单实验。关键词： 并行计算；框架；编写模型；应用；实验A Succinct Survey about Parallel Computing Technology and It’s ApplicationAbstract: Parallel computing is the main technology to implement high performance computing. This paper starts from the history of the development of Parallel Computing. It summarizes the problems faced in the development of parallel computing and the important technologies in the course of its development. Through the analysis of framework and technology commonly used in parallel computing currently,to explain the current situation of parallel computing.Framework commonly used in parallel are SMP(multi processing system),NUMA(non uniform memory storage),MPP(massively parallel processing) and cluster.The programming models of parallel computing are MPI, PVM, OpenMP, TBB and Cilk++, etc.Explored the application of parallel computing combined with cloud computing and big data which are very popular in current research.Finally ,through the MPI programming model,a simple experiment of parallel programming is carried out.Key words: parallel computing; framework; programming model; application; experiment1 引言近年来多核处理器的快速进展，使得当前软件技术面临巨大的挑战。单纯的提高单机性能，已经不能满足软件进展的需...