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

本研究项目的重点是开发一个面向全球数据分发的集成编译器和运行时系统。其目标是使集成系统比单独使用静态分析更有效地执行大规模、多阶段并行科学应用程序。首先，将开发编译器分析以将程序划分为其组件阶段，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。将研究一个框架，以在运行时确定一组合理的可能分布上的有效全局数据分布。这意味着将为每个编程阶段中的每个阵列确定分布，并可能在阶段之间重新分布，从而产生良好的应用程序性能。此外，如果应用程序特征在执行过程中发生变化，则分布也会相应地发生变化。集成系统将在各种大规模、适应性并行科学项目上进行测量。

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.