Parallel System Resource Management

有效的资源管理算法对计算机系统的性能至关重要。 这个项目将解决与并行计算机系统中的有效资源管理相关的开放性问题，使用实验技术，模拟和分析性能模型的组合。 特别是该项目将调查有关高性能并行处理器分配政策的问题，并行处理器分配和内存管理之间的相互作用，并行编程模型和适当的工作负载之间的相互作用，以评估并行资源管理算法，以及特定的并行系统资源管理算法的性能上的工作负载特性的影响。 该项目的互动部分包括：（1）教授两门课程，一门是研究生研讨会，另一门是核心研究生或本科生课程，（2）举办一个关于妇女学术职业的西北研讨会，仿照最近的计算机研究协会（CRA）同名研讨会，（3）参与华盛顿大学的妇女工程项目的指导和推广工作，以及（4）与华盛顿大学的计算机科学与工程教师和学生进行联合研究。

Effective resource management algorithms are critical to the performance of a computer system. This project will address open questions related to effective resource management in parallel computer systems, using a combination of experimental techniques, simulation, and analytical performance models. In particular the project will investigate questions concerning high performance parallel processor allocation policies, the interplay between parallel processor allocation and memory management, the interplay between parallel programming models and appropriate workloads for evaluating parallel resource management algorithms, and the impact of workload characteristics on the performance of particular parallel system resource management algorithms. The interactive component of this project involves: (1) teaching two courses, one a graduate seminar and one a core graduate or undergraduate course, (2) hosting a Northwest Workshop on Academic Careers for Women, modeled after the recent Computing Research Association (CRA) workshops of the same title, (3) participation in the mentoring and outreach efforts of the Women in Engineering program at the University Washington, and (4) joint research with Computer Science and Engineering faculty and students at the University of Washington.