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Software distributed shared memory systems with performance scalability for supercluster systems

具有超集群系统性能可扩展性的软件分布式共享内存系统

基本信息

批准号：
16300004
负责人：
YUBA Toshitsugu
金额：
$ 8.96万
依托单位：
The University of Electro-Communications
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2004
资助国家：
日本
起止时间：
2004 至 2006
项目状态：
已结题

项目摘要

A high-performance software distributed shared memory (DSM) system with performance scalability, named Mocha, was implemented as an experimental prototype aiming at the usefulness of supercluster systems. The current version of Mocha works on a 32 node cluster on the Linux environment. The source program has been opened in public domain via web. A scheme for suppressing communication overhead, which is mainly caused by maintaining data consistency among shared data located at distributed memories, is proposed and slotted in Mocha. The effectiveness is evaluated by using some benchmark programs. A tool for performance debugging of application programs and constructing an efficient software DSM, named S-Cat, was implemented, which has such functions as showing visually communication locus among processors during execution process of an application program. S-Cat was used in efficient implementation of Mocha and performance tuning of application programs on Mocha.The main research results are as follows:1.Implementation of a low communication overhead software DSM, named Mocha2.Comparison study of different software DSMs on the same cluster3.Proposal of coarse-grain parallel processing on software DSM4.Construction of a visualization tool for software DSM, named S-Cat5.Proposal of parallel processing on graphic processor and off-the-shelf processorSome technical issues toward realization of high-performance software DSMs for supercluster systems are made clear. "Hierarchical paradigm" for controlling multiple clusters was proposed, but its usefulness cannot be verified during this research period.

针对超级集群系统的实用性，实现了一个具有性能可扩展性的高性能软件分布式共享内存（DSM）系统Mocha作为实验原型。Mocha的当前版本在Linux环境下的32节点集群上工作。源程序已通过Web在公共领域开放。提出了一种用于抑制通信开销的方案，该方案主要由位于分布式存储器中的共享数据之间的数据一致性维护引起，并在Mocha中进行了开槽。通过一些基准程序的有效性进行了评估。实现了一种应用程序性能调试工具S-Cat，该工具具有可视化显示应用程序执行过程中处理器间通信轨迹等功能，可用于构建高效的软件DSM。主要研究成果如下：1.实现了一个低通信开销的软件DSM（Mocha）2.对同一机群上不同软件DSM进行了比较研究3.提出了软件DSM的粗粒度并行处理4.构建了软件DSM的可视化工具S-Cat 5.提出了在图形处理器和现成处理器上的并行处理5.明确了在超级机群系统上实现高性能软件DSM的一些技术问题。提出了控制多个集群的“层次范式”，但在本研究期间无法验证其有效性。