CAREER: Advances in Dynamic Scheduling Strategies for Scalable Parallel Scientific Applications

职业：可扩展并行科学应用的动态调度策略的进展

基本信息

批准号：
9984465
负责人：
Ioana Banicescu
金额：
$ 20.91万
依托单位：
Mississippi State University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2000
资助国家：
美国
起止时间：
2000-08-15 至 2006-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9984465&HistoricalAwards=false
关键词：
CAREER Advances Dynamic Scheduling Strategies

项目摘要

This project will strengthen the high performance computing academic program at Mississippi State University by creating a symbiosis between research and education. The research component will ultimately help extend the knowledge of the scientific community towards obtaining accurate theoretical models, so that computer simulations of physical phenomena give correct predictions. The research will do this by studying dynamic scheduling strategies for these computations, which (when properly constructed) provide simple, fast, and effective algorithms for the simulations. The education component will nurture the development of students' fundamental skills in problem solving in both theoretical and practical training. It will do this by improving the curricula by coupling strong foundational courses from different disciplines and providing meaningful interactions between them.Technically, the research will extend the study of dynamic scheduling strategies used in scientific computing with new methods, and evaluate those methods on both analytical and experimental bases. The work here specifically addresses the issues of discovering novel dynamic scheduling strategies that can accommodate highly unpredictable program behavior, providing an integrated dynamic scheduling framework for scientific applications, and analyzing the performance of parallel applications via predictive performance metrics. Doing this will use the expertise and infrastructure of the NSF Engineering Research Center for Computational Field Simulation.

该项目将通过在研究和教育之间建立共生，从而增强密西西比州立大学的高性能计算学术计划。研究组成部分最终将有助于扩展科学界的知识，以获得准确的理论模型，从而使计算机模拟对物理现象进行正确的预测。这项研究将通过研究这些计算的动态调度策略来实现这一目标，这些计算（（如果正确构造）为模拟提供了简单，快速和有效的算法。教育部分将培养学生在理论和实践培训中解决问题的基本技能的发展。它将通过通过来自不同学科的强大基础课程并在它们之间提供有意义的相互作用来改善课程来实现这一目标。技术上，研究将扩展对科学计算中使用新方法的动态调度策略的研究，并在分析和实验基础上评估这些方法。这里的工作专门解决了发现新颖的动态调度策略的问题，这些策略可以适应高度不可预测的程序行为，为科学应用提供一个集成的动态调度框架，并通过预测性能指标分析并行应用程序的性能。这样做将使用NSF工程研究中心的专业知识和基础架构。