REU Site: Interdisciplinary Research Experience on Accelerated Deep Learning through A Hardware-Software Collaborative Approach

REU 网站：通过硬件-软件协作方法加速深度学习的跨学科研究经验

• 批准号: 2051062
• 负责人: Hui Zhao
• 金额: $ 39.87万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-03-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2051062&HistoricalAwards=false
• 关键词: REU; Site; Interdisciplinary; Research; Experience

This Research Experiences for Undergraduates (REU) Site Program at the University of North Texas will enhance the knowledge and research skills of a diverse cohort of undergraduate students through empowering, innovative, and interdisciplinary research experiences in developing Deep Learning applications and systems. The program aims to 1) expose undergraduate students to real-world and cutting-edge research focused on accelerated deep learning through combined hardware and software development; 2) encourage more undergraduate students to continue their academic careers and seek graduate degrees in computer science, computer engineering, and related disciplines; 3) develop research skills and improve communication and collaborative skills in undergraduate students. The emphasis of this program is on the interdisciplinary research experience for the REU students to gain hardware-software codesign skills. REU students will be mentored by experienced researchers in the area of AI/machine learning algorithms, computer system and architecture, biomedical informatics and computational life science. Ten students will be hosted on the University of North Texas campus each summer where they closely collaborate with faculty and graduate students in performing innovative research that will address the timely and critical problems in developing Deep Learning systems and algorithms. Through their projects, the students will be able to observe the connections and interactions between different disciplines involving hardware and software. The REU students will also be formally trained in the process of collaborative and responsible research including ethics, teamwork and leadership. The program will also help the students to improve their communication abilities and writing skills through activities such as oral presentations and technical reports. Through this program, the students will be empowered with research skills and experience to empower their journey to become successful researchers.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.

这项针对北德克萨斯大学本科生（REU）现场计划的研究经验将通过增强，创新和跨学科的研究经验在开发深度学习应用程序和系统中，通过授权，创新和跨学科的研究经验来增强各种本科生的知识和研究技能。该计划的目的是1）将本科生暴露于现实世界和尖端研究，重点是通过合并的硬件和软件开发加速深度学习； 2）鼓励更多的本科生继续其学术职业，并在计算机科学，计算机工程和相关学科上寻求研究生学位； 3）发展研究技能并提高本科生的沟通和协作技能。该计划的重点是REU学生获得硬件软件编码技能的跨学科研究经验。 REU学生将受到AI/机器学习算法，计算机系统和体系结构，生物医学信息学和计算生活科学领域的经验丰富的研究人员的指导。每年夏天，将有十名学生在北德克萨斯大学校园内举办，他们与教职员工和研究生密切合作进行创新研究，这将解决开发深度学习系统和算法的及时和关键问题。通过他们的项目，学生将能够观察涉及硬件和软件的不同学科之间的联系和互动。 REU学生还将在合作和负责任的研究过程中进行正式培训，包括道德，团队合作和领导力。该计划还将通过口头演示和技术报告等活动来帮助学生提高他们的沟通能力和写作技巧。 通过该计划，学生将获得研究技能和经验，以赋予他们成为成功研究人员的旅程的能力。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。

项目成果

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

• DOI: 10.1109/ispass57527.2023.00026
• 发表时间: 2023-04
• 期刊: 2023 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
• 作者: Zhuren Liu;Shouzhe Zhang;Justin Garrigus;Hui Zhao