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Challenges in CISE: Metacomputing Environments for Optimization

CISE 中的挑战：用于优化的元计算环境

基本信息

批准号：
9726385
负责人：
Jorge Nocedal
金额：
$ 179.66万
依托单位：
Northwestern University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
1997
资助国家：
美国
起止时间：
1997-09-15 至 2002-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9726385&HistoricalAwards=false
关键词：
Challenges CISE Metacomputing Environments Optimization

项目摘要

9726385 Nocedal, Jorge Northwestern University Challenges in CISE: Metacomputing Environments for Optimization By combining distributed hardware, network hardware/software infrastructure, optimization tools, and informational material, this research will produce metacomputing environments for optimization powerful enough to tackle problems of unprecedented scale and complexity. The project integrates fundamental algorithmic and applications-oriented research in optimization with research in software infrastructure for distributed systems management. New algorithms that use the powerful but heterogeneous, high-latency environment of the metacomputer platform will be developed to solve key problems in targeted application areas. The optimization tools will include interfaces that link the client workstation to the metacomputer server in novel ways. The environment will be able to execute in tandem with data-gathering and modeling resources elsewhere in the network. Focus areas for the algorithmic research include combinatorial optimization, integer programming, global optimization, and nonlinear programming, with target application areas of transportation, telecommunications, molecular conformation, and weather forecasting. Software infrastructure research will focus on the resource allocation, scheduling, persistency, and security mechanisms needed to maximize the usefulness of the environment, from the viewpoint of the optimization tools and their users. The project will make use of the GUSTO metacomputing testbed being constructed by the Globus project.

9726385豪尔赫西北大学Nocedal在CEISE中的挑战：用于优化的元计算环境通过将分布式硬件、网络硬件/软件基础设施、优化工具和信息材料相结合，这项研究将产生用于优化的元计算环境，其功能足以处理前所未有的规模和复杂性的问题。该项目将优化方面的基础算法和面向应用的研究与分布式系统管理的软件基础设施研究相结合。将开发利用元计算机平台强大但异质、高延迟环境的新算法，以解决目标应用领域的关键问题。优化工具将包括以新颖方式将客户端工作站连接到元计算机服务器的接口。该环境将能够与网络中其他地方的数据收集和建模资源协同执行。算法研究的重点领域包括组合优化、整数规划、全局优化和非线性规划，目标应用领域包括交通、电信、分子构象和天气预报。软件基础设施研究将侧重于从优化工具及其用户的角度出发，最大限度地提高环境的有用性所需的资源分配、调度、持久性和安全机制。该项目将利用Globus项目正在建设的Gusto元计算试验台。