REU Site: Computer Systems Research

这一奖项更新了路易斯维尔大学计算机系统研究本科生(REU)网站的研究经验。这个REU网站招收了8名本科生，为期8周的暑期课程，与教师导师一起就与计算机系统相关的主题进行研究，这些主题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很大的地区缺口，因为它目前是肯塔基州唯一可用于计算机科学研究的REU网站。除了拟议研究项目的重大社会影响外，这个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，培训他们进行尖端计算机系统研究，并激励他们继续计算机科学研究生教育，来影响他们。随着摩尔定律的结束，我们现在正处于一个探索未来新计算机系统的激动人心的时代。在这方面，这个REU网站包括了各种各样的计算机系统研究课题，从处理器体系结构到存储系统，从物联网设备等小规模系统到大规模分布式系统。研究项目通过探索移动和边缘设备上新兴应用的新体系结构；节能存储堆栈设计；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，推动了计算机系统的最先进水平。多层次的指导模式是通过每周与绩效指标的进度会议，与导师的定期研究会议，以及与研究生的持续互动来进行的。该项目由CISE和既定的激励竞争研究计划(EPSCoR)共同资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.