Career: An Integrated Compiler/Run-Time System for Global Data Distribution

职业生涯：用于全球数据分发的集成编译器/运行时系统

• 批准号: 9733063
• 负责人: David Lowenthal
• 金额: $ 20.01万
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9733063&HistoricalAwards=false
• 关键词: Career; Integrated; Compiler; Run; Time

The focus of this research project is to develop an integrated compiler and run-time system for global data distribution. The goal is for the integrated system to execute large-scale, multi-phase parallel scientific applications more efficiently than can be done with static analysis alone. First, compiler analysis will be developed to divide a program into its component phases as well as pass useful hints to the run-time system about intra-phase behavior, such as the communication pattern. Second, the necessary run-time analysis will be developed to support multi-phase applications and to make use of the compiler information. A framework will be investigated to determine at run time an efficient global data distribution over a reasonable set of possible distributions. This means that a distribution will be determined for each array in each program phase, with possible redistribution between phases, that results in good application performance. Furthermore, if application characteristics change during execution, the distribution will be changed accordingly. The integrated system will be measured on a variety of large-scale, adaptive parallel scientific programs.

本研究计画的重点是开发一个整合的编译器与执行阶段系统，以提供全球资料分布。 目标是使集成系统能够比单独使用静态分析更有效地执行大规模、多阶段的并行科学应用。首先，将开发编译器分析来将程序划分为组件阶段，并向运行时系统传递有关阶段内行为的有用提示，例如通信模式。 其次，将开发必要的运行时分析，以支持多阶段应用程序，并利用编译器信息。 一个框架将被调查，以确定在运行时一个有效的全球数据分布在一组合理的可能的分布。 这意味着将在每个程序阶段中为每个阵列确定分布，并可能在阶段之间重新分布，从而获得良好的应用程序性能。此外，如果应用程序特性在执行期间发生变化，则分发也会相应地发生变化。 该集成系统将在各种大规模、自适应的并行科学计划上进行测量。