ITR/SY: SmartApps: An Application Centric Approach to Scientific Computing

ITR/SY：SmartApps：以应用程序为中心的科学计算方法

• 批准号: 0113971
• 负责人: Lawrence Rauchwerger
• 金额: $ 46.38万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-01 至 2007-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0113971&HistoricalAwards=false
• 关键词: ITR; SY; SmartApps; Application; Centric

State-of-the-art run-time systems are a poor match to diverse, dynamic distributed applications because they are designed to provide support to a wide variety of applications, without much customization to individual specific requirements. Little or no information flows from the application to the run-time system to allow the latter to fully tailor its services to the application. As a result, the performance is disappointing. To address this problem, this project will pursue application-centric computing, or Smart Applications (SMARTAPPS). The overriding philosophy of SMARTAPPS is "measure, compare, and adapt if beneficial." That is, the application will continually monitor its performance and the available resources to determine if, and by how much, the application could improve its performance by restructuring. Then, if the potential performance benefit outweighs the projected overhead costs, the application will restructure itself and the underlying system accordingly. This process occurs continuously to adapt to the dynamic needs of the application and the availability of system resources. The adaptation can occur at various levels including selection of an algorithmic approach suitable for the current problem, run-time parallelization and other related compiler optimizations, tuning reconfigurable OS services (e.g. scheduling policy), and system configuration (e.g., selecting which computational resources to use). The SMARTAPPS framework provides performance monitoring and modeling components, as well as mechanisms for performing the actual restructuring, to integrate these levels of adaptation.This project will test SMARTAPPS on several important computational science applications and representative platforms throughout the development process. From computational physics, it will study discrete-ordinates codes that simulate subatomic particle transport. From computational biology, it will study a molecular dynamics code and a code that simulates protein folding and ligand binding (also known as drug docking). SMARTAPPS will be developed and run on current distributed, heterogeneous platforms, including the ASCI machines, large NUMA machines, networks of workstations, and, ultimately, the Grid.

最先进的运行时系统与多样化的动态分布式应用程序的匹配度较差，因为它们旨在为各种应用程序提供支持，而没有对各个特定要求进行过多自定义。很少或没有信息从应用程序流到运行时系统，以使后者能够将其服务完全量身定制到应用程序中。结果，表现令人失望。为了解决此问题，该项目将追求以应用程序为中心的计算或智能应用程序（SmartApps）。 SmartApps的压倒性哲学是“衡量，比较和适应有益的话”。也就是说，该应用程序将不断监视其性能和可用资源，以确定该应用程序是否可以通过重组来改善其性能。然后，如果潜在的绩效受益于预计的间接费用，则该应用程序将相应地重组本身和基础系统。此过程不断发生，以适应应用程序的动态需求和系统资源的可用性。适应性可以在各个层面上进行，包括选择适合当前问题的算法方法，运行时并行化和其他相关编译器优化，调整可重新配置的OS服务（例如，调度策略）和系统配置（例如，将哪些计算资源选择用于哪种计算资源使用）。 SmartApps框架提供了性能监控和建模组件，以及进行实际重组的机制，以整合这些适应性级别。该项目将在整个开发过程中对几个重要的计算科学应用程序和代表性平台进行测试。从计算物理学中，它将研究模拟亚原子粒子传输的离散端码代码。从计算生物学中，它将研究分子动力学代码和模拟蛋白质折叠和配体结合（也称为药物对接）的代码。 SmartApps将在当前分布式的异构平台上开发并运行，包括ASCI机器，大型NUMA机器，工作站网络以及最终网格。