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

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:
$0.0万
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
项目状态:
已结题
起止时间:
2007-08-01 至 2011-01-31

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中文摘要
翻译
正在设计和制造高性能的并行机器,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,允许通过模拟未来的机器来开发、测试和调整应用程序,同时允许机器设计人员调整他们的体系结构选择,以使特定的应用程序集合受益。它的目标是模拟具有100多万个处理器核心的千万亿级机器。该项目建立在以前对可迁移对象的研究基础上,并在早期研究中开发了一个初步的模拟系统。本项目开发的软件通过互联网发布,由仿真器和仿真器组成。仿真器允许应用程序开发人员在真实的千万亿级环境中开发和测试应用程序,并为仿真器生成跟踪。模拟器使用跟踪和体系结构模型来生成详细的性能数据,这些数据可用于调整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通过更好地理解物理现象和改进工程构件的设计,可以对社会产生重大影响。该项目的结果,包括模拟软件,将导致有效利用在全国范围内正在开发和部署的千万亿级计算设施,用于这类软件。它将减少软件调优中的延迟。该项目还将帮助培训新一代技术,有效地利用大型并行机器实现社会目标。
英文摘要
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.
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