高性能计算集群的Linpack测试及其在大数据中的应用  

Linpack Test of High Performance Computing Cluster and Its Application in Big Data

作　　者：韩菲[1] 孙赞东[1] 苏辉[1] 

机构地区：[1]中国石油大学(北京)地质地球物理综合研究中心,北京102249

出　　处：《计算机与现代化》2015年第5期25-29,共5页Computer and Modernization

基　　金：国家重点基础研究发展规划973项目(2011CB201103);国家科技重大专项(2011ZX05004003)

摘　　要：高性能计算集群用于高效并行计算,具有很高的性价比和良好的可扩展性,如何测试和评价集群系统性能成为一个关键问题。本文基于6个节点的集群进行Linpack测试,测试不同问题规模、计算节点数、求解矩阵数据分块NB、处理器网格拓扑P×Q、网络通信等重要因素,将单机与集群的计算性能进行对比,测试集群性能,结果表明:该集群的并行计算性能良好,可扩展性强,但硬件通讯能力需进一步改善。应用该集群到实际的地震大数据计算中,该集群的并行计算能力得到了很大的提升。High performance computing cluster for efficient parallel computing is of very high cost performance and good scalabili -ty.How to test and evaluate the cluster system performance becomes a key problem .In this paper, we made a Linpack test based on high performance computing cluster of 6 nodes .Different matrix scale N , computational nodes , block size NB of matrix , pro-cessor grid topology and network communication were tested .Computing performance to PC and cluster were compared and cluster performance was tested .The results show that：the cluster parallel computing performance is good and is of strong scalability , but the hardware communication ability should be further improved .The cluster is applied into the computing of the actual seismic big data.It is known that the parallel computing performance of the cluster has been improved greatly .

关 键 词：高性能计算 性能测试 大数据 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]