U.S.-France (INRIA) Cooperative Research: Evaluation of Parallel Processing Systems

该奖项将支持一项共同努力的研究， 并行处理系统的评价，由 马萨诸塞州大学的研究人员 法国国家信息科学研究所和 自动化（INRIA）。 美国小组将由唐纳德博士领导 在法国方面，该项目将由 弗朗索瓦·巴切利博士，罗康科特INRIA。 研究 项目将重点解决以下两个问题： 1)发展一种数学方法， 评估复杂并行系统的性能。 那里 目前存在用于评估性能的强大工具 在单个或多个计算机上执行的顺序程序 多处理器 顺序和 一个并行程序是需要同步的 在并行程序执行中存在不同的活动。 因此，拟议研究的第一个目标是 开发一种评估并行软件的方法 显示这种现象的应用程序。 2)多道程序控制器的设计与分析 执行并行程序的多处理器。 许多现有 多处理器实现调度策略最初 为单处理器开发。 初步研究表明， 这可能导致不良的调度策略，即，的政策 产生较差的性能。 拟议的第二个目标 研究是开发一种设计调度的方法 产生良好性能的策略，例如低响应 次 这项研究加入了两组杰出的美国和法国 计算机科学家 INRIA因其 计算机研究，自动化， 数学和科学计算。 它提供了一个良好的 基础研究与产业结合 在这些领域的合作。

This award will support a joint effort research in the evaluation of parallel processing systems, to be carried out by researchers based at the University of Massachusetts and the French National Institute for Information Science and Automation (INRIA). The U.S. group will be led by Dr. Donald Towsley; on the French side the project will be led by Dr. Francois Bacelli, INRIA, Rocquencourt. The research project will focus on the following two problems: 1) The development of a mathematical methodology for evaluating the performance of complex parallel systems. There currently exist powerful tools for evaluating the performance of sequential programs that execute on single or multiprocessors. The main difference between a sequential and a parallel program is the need for synchronization of the different activities present in a parallel program execution. Consequently, the first goal of the proposed research is to develop a methodology for evaluating parallel software applications that exhibit this phenomenon. 2) The design and analysis of schedulers for multiprogrammed multiprocessors that execute parallel programs. Many existing multiprocessors have implemented scheduling policies originally developed for single processors. Initial studies indicate that this can result in poor scheduling polices, i.e., policies that yield poor performance. The second goal of the proposed research is to develop a methodology for designing scheduling policies that yield good performance, such as low response times. This research joins two groups of outstanding U.S. and French computer scientists. INRIA is widely recognized for its concentration of expertise in computer research, automation, mathematics and scientific computing. It provides an excellent combination of fundamental research with industrial collaboration in these areas.