CSR-AES: Adaptive Optimization for Dynamically Discovered Hardware and Software Resources
CSR-AES: Adaptive Optimization for Dynamically Discovered Hardware and Software Resources
批准号:
0720471
负责人:
Rudolf Eigenmann
金额:
$30.0万
依托单位:
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 2012-07-31
中文摘要
这个项目追求一个以开放的方式共享资源的社区的愿景。与今天的网络出版和文档发现类似,计算机应用程序、机器周期和数据库可以公开发布,并被世界各地的其他人使用。实现这一愿景的一个大问题是创建有助于管理可用资源多样性并使其适应用户需求的设施。因此,已发布的软件模块可以适合于组成新的应用程序;已发现的程序可以被调整到用户的平台;分布式应用可以以高性能运行,因为它们适应于目标环境的不断变化的带宽和延迟特性。该项目开发了这样的设施。基于先前NSF支持的结果,自适应引擎将动态地提高分布式计算应用程序的性能;它将自适应地从组件组成软件模块;它将支持跨已发现的机器平台漫游的计算机应用程序。这些组件正在集成在iShare互联网共享系统中,该系统提供了资源发布、发现和远程使用的环境。该系统的组件正在相关的NSF项目中创建,这些项目协同地补充了本项目。这项工作解决了计算机系统和软件设计中的一个基本问题:由于在设计时可获得不必要的信息,因此通常不可能做出最佳设计决策。自适应引擎将设计决策移动到应用软件执行的时间,当这些信息变得可用时,该项目预计将产生所涉及的编译器,作曲家和应用软件的显着性能改进,大大促进所涉及的资源可以由全球社区共享的方式。
英文摘要
This project pursues the vision of a community that shares resources in an openmanner. Similar to today's web publication and discovery of documents, computerapplications, machine cycles, and databases can be announced openly and used byothers worldwide.A big issue in realizing this vision is to create facilities that help managethe diversity of available resources and adapt them to the users' needs. Thus,published software modules may be adapted to compose new application programs;discovered programs may be tuned to the user's platform; distributedapplications may run at high performance, as they adapt to changing bandwidthand latency characteristics of the target environment. This project developssuch facilities. Building on results of prior NSF support, an adaptiveengine will dynamically improve the performance of distributed computerapplications; it will adaptively compose software modules from components; andit will support computer applications that roam across discovered machineplatforms. These components are being integrated in the iShare Internet sharingsystem, which provides the environment for resource publication, discovery, andremote use.Components of this system are being created in related NSF projects, which synergistically complement the present project.This work addresses a fundamental problem in computer system and softwaredesign: optimal design decisions are often impossible because insufficientinformation is available at design-time. The adaptive engine moves designdecisions to the time application software executes, when this information becomesavailable.The project is expected to yield significant performance improvements of theinvolved compilers, composers, and application software, substantially facilitating the way the involved resources can be shared by the global community.
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