A Software Support System for Parallel Processing in Multiprocessor Clusters

多处理器集群并行处理的软件支持系统

• 批准号: 9625959
• 负责人: Phyllis Crandall
• 金额: $ 1.8万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-06-15 至 1997-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9625959&HistoricalAwards=false
• 关键词: Software; Support; System; Parallel; Processing

This effort is funded as a Research Planning Grant (RPG). The availability of shared-memory, multiprocessor workstation clusters offers the opportunity for the simultaneous application of shared memory and distributed memory parallel processing techniques to a single problem. However, software systems that facilitate this dual-level parallel processing paradigm and allow the programmer, compiler, and run-time system to make the best use of the computational power offered by this platform are not yet available. The long-term goal of this research is threefold: (1) to provide a software system that furnishes advice regarding the partitioning methods and cluster configuration expected to yield the best performance, (2) to develop a communication library that handles both shared and distributed memory communications with a single syntax, and (3) to incorporate both the advisory system and the communication library into a data-parallel compiler that transparently handles interprocessor communication. During the research planning phase, which is being supported by this grant award, four initial steps toward the long-term research goals will be accomplished. (a) The computation and communication characteristics of the multiprocessor cluster will be characterized. (b) Mathematical models of performance of applications that exhibit stencil data dependencies will be developed. (c) The advisory system will be designed and implemented with the initial mathematical models. (d) The current body of research on shared memory and distributed memory communication libraries and data-parallel compilers will be surveyed to determine the best approach for developing the dual-level communication library and incorporating the library into existing compilers. ***

这项工作是作为研究规划补助金(RPG)资助的。共享内存、多处理器工作站集群的可用性为同时应用共享内存和分布式内存并行处理技术解决单个问题提供了机会。然而，促进这种双层并行处理范例并允许程序员、编译器和运行时系统最佳地利用该平台所提供的计算能力的软件系统尚未可用。这项研究的长期目标有三个：(1)提供一个软件系统，该软件系统提供关于预期产生最佳性能的分区方法和集群配置的建议；(2)开发一个通信库，该通信库用单一语法处理共享和分布式存储器通信；以及(3)将咨询系统和通信库都合并到透明地处理处理器间通信的数据并行编译器中。在研究规划阶段，将完成四个初步步骤，以实现长期研究目标。研究计划阶段由这项拨款支持。(A)将说明多处理器集群的计算和通信特点。(B)将建立表现出模板数据相关性的应用程序性能的数学模型。(C)咨询系统的设计和实施将采用最初的数学模型。(D)将对目前关于共享内存和分布式内存通信库和数据并行编译器的研究进行调查，以确定开发双层通信库和将该库纳入现有编译器的最佳办法。***