CSR---SMA: BigSim: Performance Prediction for Petascale Machines and Applications

CSR---SMA：BigSim：千万亿级机器和应用的性能预测

• 批准号: 0720827
• 负责人: Laxmikant Kale
• 金额: --
• 依托单位: University of Illinois at Urbana-Champaign
• 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: 2007-08-01 至 2011-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720827&HistoricalAwards=false
• 关键词: CSR; SMA; BigSim; Performance; Prediction

Parallel machines of high capability are being designed and built to run Software for scientific and engineering modeling. This project is conducting research to create a simulation environment that allows applications to be developed, tested and tuned via simulation of the future machine, while allowing machine designers to tune their architectural choices to benefit a specific collectionof applications. It aims at simulating petascale machines with over a million processor cores. The project builds upon previous research on migratable objects, and a preliminary simulation system developed in earlier research. The software developed in this project is being distributed via the Internet, and consists of an emulator and a simulator. The emulator allows application developers to develop and test their application in a realistic petascale environment and generate traces for the simulator. The simulator uses the traces, along with a model of the architecture, to generate detailed performance data that can be used to tune the applications and to analyze the architectural choices under realistic application loads.Software for Scientific and Engineering modeling can make a significant impact on society through better understanding of physical phenomenon and improved design of engineered artifacts. The results of this project, including the simulation software, will lead to effective use of the petascale computing facilities being developed and deployed nationally, for such software. It will reduce delays in software tuning. The project will also help train a new generation in techniques for effectively harnessing large parallel machines to society's goals.

高性能的并行机器正在被设计和建造，以运行用于科学和工程建模的软件。该项目正在进行研究，以创建一个模拟环境，允许通过模拟未来机器来开发、测试和调整应用程序，同时允许机器设计人员调整他们的架构选择，以使特定的应用程序集合受益。它旨在模拟拥有超过一百万个处理器核心的千万亿次机器。该项目建立在先前对可迁移对象的研究基础上，以及在早期研究中开发的初步模拟系统。本项目开发的软件通过Internet发布，由仿真器和模拟器组成。模拟器允许应用程序开发人员在一个真实的千兆级环境中开发和测试他们的应用程序，并为模拟器生成跟踪。模拟器使用跟踪和体系结构模型来生成详细的性能数据，这些数据可用于调优应用程序，并分析实际应用程序负载下的体系结构选择。科学和工程建模软件可以通过更好地理解物理现象和改进工程人工制品的设计，对社会产生重大影响。这个项目的成果，包括模拟软件，将导致有效利用国家正在为这种软件开发和部署的千万亿次计算设施。它将减少软件调优的延迟。该项目还将帮助培训新一代的技术，以有效地利用大型并联机器来实现社会目标。