CSR-AES: Feedback-Driven Adaptive Multithreading

这个研究项目研究了如何扩展动态多线程的可伸缩模型，以包含三个关键功能——多道编程、进程间通信和对I/O的支持——而不需要艰苦的手动规划、调优或配置。该研究特别侧重于使用可证明良好的“反馈驱动”策略来实现这一目标。研究人员正在开发一个多程序多线程系统来体现这些策略，并为发现交互适应性工作的其他特性提供研究工具。正在研究的技术之一是“基于历史的反馈”，它为有效的调度和资源分配策略提供了一个有希望的基础。这项研究希望使多处理器更高效，更容易被绝大多数计算机用户使用，而不仅仅是专家计算机科学家。在研究过程中开发的开源软件对万维网上的任何人都是免费的。多处理器调度的课程材料通过mit开放课件项目进行分发。

This research project investigates how to extend the scalable model ofdynamic multithreading to encompass three key functionalities ---multiprogramming, interprocess communication, and support for I/O ---without requiring painstaking manual planning, tuning, or configuring. The research focuses particularly on using provably good``feedback-driven'' strategies to accomplish this end. Theresearchers are developing a multiprogrammed multithreaded system toembody these strategies and provide a research vehicle for discovering additional properties of interacting adaptive jobs. Among thetechniques under study is ``history-based feedback,'' which offers apromising foundation for provably effective scheduling and resourceallocation strategies. This research hopes to make multiprocessors more efficient and easierto use by the vast majority of computer users, not just by expertcomputer scientists. Open-source software developed in the course ofthe research is freely available to anyone on the World Wide Web. Course materials on multiprocessor scheduling are distributed via theMIT OpenCourseWare project.