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

正在设计和建造高性能并行机，以运行科学和工程建模软件。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，同时允许机器设计师调整他们的架构选择，以使特定的应用程序集合受益。它的目标是模拟具有超过一百万个处理器内核的千万亿次计算机。该项目建立在以前的研究可迁移对象，并在早期的研究开发了一个初步的模拟系统。该项目开发的软件通过互联网分发，包括一个仿真器和一个模拟器。仿真器允许应用程序开发人员在真实的千万亿次环境中开发和测试他们的应用程序，并为仿真器生成跟踪。模拟器使用跟踪，连同架构的模型，沿着，以生成详细的性能数据，这些数据可用于调整应用程序和分析在实际应用程序负载下的架构选择。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工件的设计来对社会产生重大影响。这一项目的成果，包括模拟软件，将导致有效利用正在为这种软件开发和在全国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行机器实现社会目标。

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.