异构型计算与并行程序设计环境

异构型计算能有效地利用多种不同的高性能计算机，以满足大型计算问题的不同计算需求。本文着重讨论了支持异构型计算的并行程序设计环境所需具备的功能，并以目前最流行的ＰＶＭ和Ｅｘｐｒｅｓｓ系统为例进行说明。     

备份和恢复Outlook Express 5.0设置的技巧

由于计算机通过Ｏｕｔｌｏｏｋ　Ｅｘｐｒｅｓｓ　５．０在桌面上实现了全球范围的联机通讯,此时不但可以与别人发送和接收电子邮件,而且还可可加入新闻组进行信息交流。毫无疑问,网民们使用Ｏｕｔｌｏｏｋ　Ｅｘｐｒｅｓｓ５．０的比例是相对较高的。但是,由于众多无法预测的原因,时常要重装Ｗｉｎｄｏｗｓ操作系统。如果直接重新安装Ｗｉｎｄｏｗｓ系统的话,ＯｕｔｌｏｏｋＥｘｐｒｅｓｓ　５．０的许多配置（如电子信箱账号、通讯簿、邮件和以往连线预订的新闻及新闻组等）都将Ｗｉｎｄｏｗｓ操作系统的重装而永远“消失”了,实在…     

全新模块化光纤连接系统——FiberExpress Bar

丽特网络科技有限公司（ＮＯＲＤＸ／ＣＤＴ）推出的全新模块化光纤连接系统ＦｉｂｅｒＥｘｐｒｅｓＢａｒ可以使光纤网的安装更加简便灵活，还能大幅度降低人工安装成本。１．缩短安装时间ＦｉｂｅｒＥｘｐｒｅｓｓＢａｒ这一新系统包括一个坚固耐用的小型转接板和光缆，...     

IE5常用巧技

ＩＥ５已经是个“老”软件了,但笔者却发现很多用户只会使用几个有限的功能,严重影响了浏览效率,既浪费了时间,也浪费了ｍｏｎｅｙ,实在不应该。鉴于此,笔者专门整理了一些这方面的常用技巧,希望能对大家有所帮助。１实现简、繁体中文版ＯｕｔｌｏｏｋＥｘｐｒｅｓｓ之间邮件互通的方法方法很简单。对ＩＥ５简体中文版的ＯｕｔｌｏｏｋＥｘｐｒｅｓｓ用户而言,需用简体中文输入,然后发送电子邮件;对方使用ＩＥ５繁体中文版的ＯｕｔｌｏｏｋＥｘｐｒｅｓｓ接收后,在阅读时,ＯｕｔｌｏｏｋＥｘｐｒｅｓｓ会自动正确显示简体中文邮件。反…     

特征产品模型数据结构研究

本文用Ｅｘｐｒｅｓｓ语言和ＩＤＥＦ方法分析了产品模型的结构，提出了基于特征的用Ｅｘｐｒｅｓｓ描述的产品模型，建立了可满足新一代信息集成需要的符合ＰＤＥＳ／ＳＴＥＰ规范的回转体零件的特征字典     

随意调用新邮件程序

平时我们用得最多的收发邮件应用程序莫过于Ｆｏｘｍａｉｌ和Ｏｕｔｌｏｏｋ　Ｅｘｐｒｅｓｓ,有的人喜欢用Ｆｏｘｍａｉｌ,有的人喜欢用Ｏｕｔｌｏｏｋ　Ｅｘｐｒｅｓｓ。二者都拥有一定数量的用户群。　当我们用鼠标点击Ｉｎｔｅｒｎｅｔ　Ｅｘｐｌｏｒｅｒ或者Ｗｏｒｄ中的电子邮件地址时,会弹出一个新邮件窗口,而且电子邮件的地址也出现在收件人一栏中,我们可以在这个新窗口中,编辑内容。　通常情况下,系统安装完成后,默认情况下调用Ｏｕｔｌｏｏｋ　Ｅｘｐｒｅｓｓ中的新邮件程序。如果喜欢用Ｆｏｘｍａｉｌ中的新邮件格式,我…     

Intel 快讯

Ｉｎｔｅｌ快讯Ｉｎｔｅｌ发布具有ＣｉｓｃｏＩＳＬＶＬＡＮ功能的ＥｔｈｅｒＥｘｐｒｅｓＴＭＰＲＯ／１００服务器网卡北京１９９７年４月２５日电。Ｉｎｔｅｌ公司今天发布了ＥｔｈｅｒＥｘｐｒｅｓｓＴＭＰＲＯ／１００服务器网卡，它是一种智能型的１０／１００Ｍｂ...     

WRQ Express 2000软件套件助系统管理员 消除桌面电脑千年虫祸害

ＷＲＱＥｘｐｒｅｓｓ２０００软件套件助系统管理员消除桌面电脑千年虫祸害ＷＲＱ公司宣布，推出一套能帮助资讯科技经理解决桌面电脑千年虫问题的软件工具。全新ＷＲＱＥｘｐｒｅｓｓ２０００为用户提供一个有效方法，不仅让他们更了解千年虫问题的深远影响，并协助他们...     

如何利用FrontPage Express制作主页

制作主页的工具很多,象ＨＴＭＬ、ＶＢ等语言需要专业的知识制作主页,ＭｉｃｒｏｓｏｆｔＦｒｏｎｔＰａｇｅ又需要单独购买软件才能制作主页,而捆绑在Ｗｉｎｄｏｗｓ９８下的ＦｒｏｎｔＰａｇｅＥｘｐｒｅｓｓ就不需要你增加什么费用就可制作主页,其制作的效果基本上能满足你的需要。如果你想制作更好的主页,用Ｆｒｏｎ－ｔＰａｐｅＥｘｐｒｅｓｓ先练习,也不失为一个好办法。ＦｒｏｎｔＰａｇｅＥｘｐｒｅｓｓ是一种能够让你充分使用ＨＴＭＬ语言的强大功能的网页编辑器。使用ＦｒｏｎｔＰａｇｅＥｘｐｒｅｓｓ可以按照ＨＴＭＬ的格…     

网络并行计算中的负载平衡

本文详细讨论了网络并行计算中的负荷平衡，尤其是动态负载平衡问题，并提出了相应的解决办法，最后，我们给出了如何在Ｅｘｐｒｅｓｓ环境中进行负载平衡程序设计的方法。     

Parallel programming for multimedia applications

Computing capabilities are continuing to increase with the availability of multi core and many core processors. The wide availability of multi core processors has made parallel programming possible for end user applications running on desktops, workstations, and mobile devices. While parallel hardware has become common, software that exploits parallel capabilities is just beginning to take hold. Multimedia applications, with their data parallel nature and large computing requirements will benefit significantly from parallel programming. In this paper an overview of parallel programming is presented and languages and tools for parallel programming such as OpenMP and CUDA are introduced within the scope of multimedia applications.     

分布式环境软件开发平台

对一般的软件开发人员编写分布式并行计算程序是比较艰难的。它要求设计者对任务的分解、分配及子任务间的交互等问题有更高的技术。本文给出了分布式环境并行计算程序开发平台的一种新构架,研制了一个网络环境的可视化并行程序设计平台。用户只须将并行问题可视化地以图形方式描述出来,任务的调度、任务间通信都由系统自动完成
成,因而大大地方便了用户进行并行程序设计。     

分布并行系统的并行程序设计环境

分布式并行计算机系统中，由于没有共享内存以支持处理机间的数据交换，因而需采用ｍｅｓｓａｇｅｐａｓｓｉｎｇ的方式实现并行计算中处理机间的数据通讯，并行程序设计环境作为程序员使用并行计算机系统工具，对于并行处理技术以及并行计算机系统的发展与推广应用都有重要的作用，本文将分布基于ｍｅｓｓａｇｅｐａｓｓｉｎｇ的并行计算机系统中的并行程序设计环境的基本问题，并介绍几种典型的并行程序设计环境。     

并行程序设计语言发展现状

In this paper we introduce the history of the parallel programming language and list some of currently parallel programming languages. Then according to the classified principle. We analyze some of the representative parallel programming languages in detail. Finally, we show a further feature to the parallel programming language.     

A parallel programming assessment for stream processing applications on multi-core systems

Multi-core systems are any computing device nowadays and stream processing applications are becoming recurrent workloads, demanding parallelism to achieve the desired quality of service. As soon as data, tasks, or requests arrive, they must be computed, analyzed, or processed. Since building such applications is not a trivial task, the software industry must adopt parallel APIs (Application Programming Interfaces) that simplify the exploitation of parallelism in hardware for accelerating time-to-market. In the last years, research efforts in academia and industry provided a set of parallel APIs, increasing productivity to software developers. However, a few studies are seeking to prove the usability of these interfaces. In this work, we aim to present a parallel programming assessment regarding the usability of parallel API for expressing parallelism on the stream processing application domain and multi-core systems. To this end, we conducted an empirical study with beginners in parallel application development. The study covered three parallel APIs, reporting several quantitative and qualitative indicators involving developers. Our contribution also comprises a parallel programming assessment methodology, which can be replicated in future assessments. This study revealed important insights such as recurrent compile-time and programming logic errors performed by beginners in parallel programming, as well as the programming effort, challenges, and learning curve. Moreover, we collected the participants’ opinions about their experience in this study to understand deeply the results achieved.     

异构系统编程方法综述

由通用微处理器和专用加速器构成的异构并行系统比传统的同构系统显示出更高的性能和效能,目前已成为高性能计算领域的重要发展趋势。然而,编程问题成为限制异构系统发展的一大挑战,因此引起学术界和业界广泛关注。本文首先阐述了异构系统编程问题的来源;其次分析了近年来面向异构系统编程方法的研究工作,并对其进行分类;最后总结了异构系统编程方法未来的研究问题。     

Extending FuzzyCLIPS for parallelizing data-dependent fuzzy expert systems

FuzzyCLIPS is a rule-based programming language and it is very suitable for developing fuzzy expert systems. However, it usually requires much longer execution time than algorithmic languages such as C and Java. To address this problem, we propose a parallel version of FuzzyCLIPS to parallelize the execution of a fuzzy expert system with data dependence on a cluster system. We have designed some extended parallel syntax following the original FuzzyCLIPS style. To simplify the programming model of parallel FuzzyCLIPS, we hide, as much as possible, the tasks of parallel processing from programmers and implement them in the inference engine by using MPI, the de facto standard for parallel programming for cluster systems. Furthermore, a load balancing function has been implemented in the inference engine to adapt to the heterogeneity of computing nodes. It will intelligently allocate different amounts of workload to different computing nodes according to the results of dynamic performance monitoring. The programmer only needs to invoke the function in the program for better load balancing. To verify our design and evaluate the performance, we have implemented a human resource website. Experimental results show that the proposed parallel FuzzyCLIPS can garner a superlinear speedup and provide a more reasonable response time.     

Concurrent C++: Concurrent programming with class(es)

C++ and Concurrent C are both upward-compatible supersets of C that provide data abstraction and parallel programming facilities, respectively. Although data abstraction facilities are important for writing concurrent programs, we did not provide data abstraction facilities in Concurrent C because we did not want to duplicate the C++ research effort. Instead, we decided that we would eventually integrate C++ and Concurrent C facilities to produce a language with both data abstraction and parallel programming facilities, namely, Concurrent C++. Data abstraction and parallel programming facilities are orthogonal. Despite this, the merger of Concurrent C and C++ raised several integration issues. In this paper, we will give introductions to C++ and Concurrent C, give two examples illustrating the advantages of using data abstraction facilities in concurrent programs, and discuss issues in integrating C++ and Concurrent C to produce Concurrent C++.