【摘要】：自有第三類科學(xué)之稱的計(jì)算機(jī)科學(xué)誕生以來，人們認(rèn)識世界改造世界的步伐不斷加快，也不斷的推動計(jì)算機(jī)科學(xué)的進(jìn)一步發(fā)展：并行技術(shù)在慢慢取代串行技術(shù)，高性能計(jì)算越來越受到歡迎，以及隨之而來的高性能計(jì)算機(jī)、超級計(jì)算機(jī)。隨著計(jì)算機(jī)軟硬件技術(shù)的進(jìn)一步發(fā)展，利用普通計(jì)算機(jī)來構(gòu)建擁有計(jì)算性能高、通信效率高的電子系統(tǒng)——集群系統(tǒng)，同時由于它有著高性能計(jì)算機(jī)和超級計(jì)算機(jī)不具備的價格便宜、組建管理維護(hù)簡單等優(yōu)點(diǎn)，越來越受到中小型研究小組的歡迎，它們的計(jì)算系統(tǒng)通常有著單機(jī)性能不高、計(jì)算節(jié)點(diǎn)架構(gòu)差異大等特點(diǎn)。 本文以三種不同架構(gòu)的計(jì)算節(jié)點(diǎn)為實(shí)驗(yàn)硬件，以集成化的集群系統(tǒng)為基本操作系統(tǒng)來組建這種電子系統(tǒng)，主要通過合理設(shè)計(jì)節(jié)點(diǎn)屬性和任務(wù)調(diào)度管理系統(tǒng)的配置來實(shí)現(xiàn)不同架構(gòu)節(jié)點(diǎn)的差異化控制和資源最大化利用，通過給監(jiān)控系統(tǒng)添加圖形處理器模塊實(shí)現(xiàn)監(jiān)控系統(tǒng)對部分帶有圖形處理器節(jié)點(diǎn)的監(jiān)控。詳細(xì)闡述了集群這種電子系統(tǒng)從設(shè)計(jì)、實(shí)施到維護(hù)的全過程，并總結(jié)了其中的經(jīng)驗(yàn)教訓(xùn)，為有意向組建集群的人們提供參考。 對這種電子系統(tǒng)進(jìn)行需求分析，并設(shè)計(jì)實(shí)現(xiàn)相應(yīng)的功能。對實(shí)驗(yàn)電子系統(tǒng)進(jìn)行了各項(xiàng)測試，在HPL測試中，選取問題規(guī)模31000和分塊大小256作為測試參數(shù)，，8節(jié)點(diǎn)并行測試的實(shí)測性能是理論值的30%，當(dāng)問題規(guī)模增大能提升到42%，仍有很大提升空間；利用NAMD對圖形處理器進(jìn)行測試，在ApoA1作為測試基準(zhǔn)的情況下單顯卡實(shí)現(xiàn)了4倍的加速比。本文還進(jìn)一步了探討了這種電子系統(tǒng)在高性能計(jì)算之外的其他應(yīng)用。簡化了內(nèi)外部網(wǎng)站構(gòu)建維護(hù)難度，節(jié)省了服務(wù)費(fèi)；內(nèi)部協(xié)作平臺的建設(shè)加強(qiáng)了課題組內(nèi)部的溝通交流，實(shí)現(xiàn)了多種方式的共享互助；項(xiàng)目管理系統(tǒng)實(shí)現(xiàn)了實(shí)時追蹤項(xiàng)目進(jìn)度，多平臺查看項(xiàng)目日志，動態(tài)項(xiàng)目成員分配任務(wù)等功能。
[Abstract]:Since the birth of computer science, known as the third category of science, people have come to realize that the pace of world transformation has been accelerating and promoting the further development of computer science: parallel technology is slowly replacing serial technology. High-performance computing is becoming more and more popular, as well as high-performance computers, supercomputers. With the further development of computer software and hardware technology, the cluster system, which has high computing performance and high communication efficiency, is constructed by using ordinary computers. At the same time, it is more and more popular with small and medium-sized research groups because it has the advantages of low price and simple management and maintenance, which are not provided by high-performance computers and supercomputers, and their computing systems usually have low performance on a single machine. Computing node architecture differences and other characteristics. In this paper, three kinds of computing nodes with different architectures are used as the experimental hardware, and the integrated cluster system is used as the basic operating system to construct this electronic system. Through the rational design of node attributes and task scheduling management system configuration to achieve the different architecture of node differentiation control and maximize the utilization of resources. By adding graphics processor module to the monitoring system, the monitoring system can monitor some nodes with GPU. In this paper, the whole process of designing, implementing and maintaining the electronic system of cluster is described in detail, and the experiences and lessons are summarized, so as to provide reference for the people who intend to set up the cluster. The requirements of this electronic system are analyzed and the corresponding functions are designed and realized. The experimental electronic system is tested. In the HPL test, the problem size 31000 and the block size 256 are selected as the test parameters. The measured performance of the 8-node parallel test is 30% of the theoretical value, and can be increased to 42% when the scale of the problem increases. There is still a lot of room for improvement; The graphics processor is tested with NAMD, and the speedup of single graphics card is 4 times higher when ApoA1 is used as the benchmark. The application of this kind of electronic system to high performance computing is also discussed in this paper. It simplifies the difficulty of construction and maintenance of internal and external websites and saves the service charge, and the construction of internal cooperation platform strengthens the communication and communication within the research group, and realizes various ways of sharing and mutual assistance. Project management system realizes real-time tracking project progress, multi-platform view project log, dynamic project member assignment tasks and so on.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP38

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王巍;李旺;;基于Lustre文件系統(tǒng)的MPI-IO編程接口改進(jìn)[J];電子技術(shù)應(yīng)用;2012年05期

2 董犖;葛萬成;陳康力;;CUDA并行計(jì)算的應(yīng)用研究[J];信息技術(shù);2010年04期

3 汪璐;石京燕;程耀東;;基于Lustre的BES集群存儲系統(tǒng)[J];核電子學(xué)與探測技術(shù);2010年12期

4 伊君翰;;基于多核處理器的并行編程模型[J];計(jì)算機(jī)工程;2009年08期

5 陳鋼;吳百鋒;;面向OpenCL模型的GPU性能優(yōu)化[J];計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)學(xué)報;2011年04期

6 張洋;陳文波;李廉;李兵;程應(yīng)娥;燕昊;;高性能集群作業(yè)管理系統(tǒng)TORQUE分析與應(yīng)用實(shí)現(xiàn)[J];計(jì)算機(jī)工程與科學(xué);2007年10期

7 孫東奇;王秀梅;;用Rsync實(shí)現(xiàn)Linux文件系統(tǒng)備份[J];教育信息化;2006年03期

8 桂葉晨;劉濤;彭蓉;文高進(jìn);;多GPU節(jié)點(diǎn)下的NAMD測試與分析[J];華中科技大學(xué)學(xué)報(自然科學(xué)版);2011年S1期

9 陳艷格;鄢靖豐;;Linux集群部署系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[J];軟件導(dǎo)刊;2012年06期

10 崔勇,吳建平,徐恪,徐明偉;互聯(lián)網(wǎng)絡(luò)服務(wù)質(zhì)量路由算法研究綜述[J];軟件學(xué)報;2002年11期

本文編號：2458921