Collaborative: CSR-AES: System Support for Auto-tuning MPI Applications

协作：CSR-AES：自动调整 MPI 应用程序的系统支持

• 批准号: 0720678
• 负责人: George Bosilca
• 金额: $ 17.5万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720678&HistoricalAwards=false
• 关键词: Collaborative; CSR; AES; System; Support

The AToMS (Automatic Tuning of MPI Software) project is investigating a software system that can automatically improve the performance of large-scale scientific applications. Scientific codes that demand more and more computing resources are critical to modern science, but too often scientists must spend time constructing programs that run fast at the expense of doing their primary research. As computers contain an increasing number of computing elements, the problem worsens. The goal of the AToMS project is to begin to address this issue by applying automatic application tuning.An optimizing compiler transforms programs into sematically equivalent ones that perform better. When dealing with any complicated architecture it is difficult to know which transformations will improve performance. Auto-tuning takes the approach of trying many transformations and empirically evaluating the resulting versions. AToMS performs this auto-tuning with a combination of a static analysis based code transformation engine (called ASPhALT) and runtime support in the OpenMPI library. The combination of compile-time and run-time support allows for code restructuring to overlap computation and communication and the creation of optimized data-packing routines. In addition, code can be generated to take advantage of multicore processorarchitectures.Intellectual Merit: The merit of the proposed pro ject is in gaining understanding about what is required to support automatically tunable MPI programs. Broader Impacts: This project will impact the high-performance and scientific computing community and users of parallel computers by making it easier to achieve good performance.

AToMS（MPI 软件自动调优）项目正在研究一种能够自动提高大规模科学应用性能的软件系统。需要越来越多计算资源的科学代码对于现代科学至关重要，但科学家常常必须花时间构建快速运行的程序，而牺牲了他们的初步研究。随着计算机包含的计算元件数量不断增加，问题变得更加严重。 AToMS 项目的目标是通过应用自动应用程序调整来开始解决这个问题。优化编译器将程序转换为语义等效且性能更好的程序。在处理任何复杂的架构时，很难知道哪些转换会提高性能。自动调整采用尝试多种转换并凭经验评估结果版本的方法。 AToMS 结合基于静态分析的代码转换引擎（称为 ASPhALT）和 OpenMPI 库中的运行时支持来执行此自动调整。编译时和运行时支持的结合允许代码重组以重叠计算和通信以及创建优化的数据打包例程。此外，还可以生成代码以利用多核处理器架构。 智力优点：所提议项目的优点在于了解支持自动可调 MPI 程序所需的内容。更广泛的影响：该项目将通过使获得良好性能变得更容易来影响高性能和科学计算社区以及并行计算机的用户。