REU Site: Computer Systems Research

该奖项更新了路易斯维尔大学计算机系统研究本科生研究经验（REU）网站。这个REU网站在为期八周的暑期课程中接待八名本科生，与教师导师就计算机系统相关的主题进行研究，包括计算机体系结构，操作系统，物联网（IoT），嵌入式系统和分布式机器学习。虽然它对来自全国各地的本科生开放，但这笔资金填补了一个巨大的区域缺口，因为目前它是肯塔基州唯一可用于计算机科学研究的REU网站。除了拟议的研究项目具有显著的更广泛的社会影响外，REU网站还通过帮助来自研究机会有限的学校的本科生获得计算机系统概念和工具的理论和实践知识，培训他们进行尖端的计算机系统研究，并激励他们追求计算机科学的研究生教育，从而影响他们。随着摩尔定律的终结，我们正处于一个激动人心的时代，为未来探索新的计算机系统已经成熟。在这方面，这个REU网站包括各种各样的计算机系统研究主题，从处理器架构到存储系统，从小型系统（如物联网设备）到大型分布式系统。研究项目通过探索移动和边缘设备上新兴应用的新架构，推动了计算机系统的最新发展；节能储层设计；节能嵌入式系统和微控制器；以及新颖的分布式计算和可解释的机器学习算法。一个多层次的指导模式是通过每周与pi的进展会议、与导师的定期研究会议以及与研究生的持续互动来遵循的。本项目由CISE和促进竞争性研究的既定计划（EPSCoR）共同资助。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This award renews the Research Experiences for Undergraduates (REU) site in Computer Systems Research at the University of Louisville. This REU Site hosts eight undergraduate students in eight-week summer sessions to conduct research with faculty mentors on topics related to computer systems, including computer architecture, operating systems, Internet of Things (IoT), embedded systems, and distributed machine learning. While it is open to undergraduates from all over the country, this funding fills a large gap regionally as currently it is the only REU site available for computer science research in Kentucky. In addition to the significant broader social impacts of the proposed research projects, this REU site impacts undergraduate students from schools with limited research opportunities by helping them gain theoretical and practical knowledge in computer systems concepts and tools, training them in conducting cutting-edge computer systems research, and inspiring them to pursue postgraduate education in computer science.With Moore's Law coming to an end, we are now in an exciting era ripe for the exploration of new computer systems for the future. In this regard, this REU Site includes a broad variety of computer systems research topics, ranging from processor architecture to storage systems and from small-scale systems such as IoT devices to large-scale distributed systems. Research projects advance the state-of-the-art in computer systems by exploring new architectures for emerging applications on mobile and edge devices; energy-efficient storage stack designs; energy-efficient embedded systems and microcontrollers; and novel distributed computing and explainable machine learning algorithms. A multi-level mentoring model is followed through weekly progress meetings with the PIs, regular research meetings with the mentors, and continuous interaction with graduate students.This project is jointly funded by CISE and the Established Program to Stimulate Competitive Research (EPSCoR).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.