REU Site: High Performance Computing with Engineering Applications

REU 站点：高性能计算与工程应用

• 批准号: 1852102
• 负责人: Daqing Hou
• 金额: $ 35.99万
• 依托单位: Clarkson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-02-15 至 2023-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852102&HistoricalAwards=false
• 关键词: REU; Site; Performance; Computing; Engineering

This award provides support for a three-year REU Site at Clarkson University, Potsdam, New York, in High Performance Computing (HPC), a field critical to national security, scientific discovery, and technological innovation. The goal of this project is to encourage 30 talented undergraduate students to pursue graduate study and careers in HPC by engaging them in exciting, ongoing research projects and by cultivating their talents during ten-week summer research experiences and beyond. Sixteen ongoing research projects available for students are innovative and share the common theme of societally relevant engineering applications that originate from disciplines as diverse as aeronautical engineering, chemical engineering, civil engineering, electrical and computer engineering, software engineering, and applied mathematics. The project thus serves the national interest, as stated by NSF's mission: to promote the progress of science; to advance the national health, prosperity and welfare; or to secure the national defense.Students are recruited from targeted institutions that offer limited or no research opportunities in HPC, such as historically minority colleges and universities. Emphasis is placed on attracting underrepresented minority and female students. Faculty with expertise in HPC applications mentor the students to be researchers and provide them with specialized training in the design and development of HPC applications that are rooted in and motivated by engaging engineering innovations. This specialized training provides the students with technical and analytical skills in mathematical modeling, algorithmic development, and parallel and distributed programming, which benefit them in future pursuits such as graduate study or industry work. The quality of this training is further reinforced by additional professional development activities, including an HPC crash course, field trips, invited speakers, weekly group meetings, and a mentor training workshop for faculty. Seminars in career development, literature search, technical writing, and graduate school advisement, are also integrated into the program, and all student participants are given the opportunity to attend and present in professional conferences.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.

该奖项为位于纽约波茨坦的克拉克森大学的一个为期三年的REU网站提供支持，该网站致力于高性能计算（HPC），这是一个对国家安全、科学发现和技术创新至关重要的领域。该项目的目标是鼓励30名有才华的本科生通过参与令人兴奋的，正在进行的研究项目，并在为期十周的夏季研究经验及以后培养他们的才能，来追求HPC的研究生学习和职业生涯。16个正在进行的研究项目可供学生创新，并分享社会相关的工程应用程序的共同主题，这些应用程序来自航空工程，化学工程，土木工程，电气和计算机工程，软件工程和应用数学等不同学科。 因此，该项目符合国家利益，正如NSF的使命所述：促进科学进步;促进国家健康、繁荣和福利;或确保国防安全。学生来自目标机构，这些机构提供有限或没有HPC研究机会，例如历史上的少数民族学院和大学。重点是吸引代表性不足的少数民族学生和女生。 拥有HPC应用专业知识的教师指导学生成为研究人员，并为他们提供HPC应用程序设计和开发方面的专业培训，这些应用程序植根于工程创新并受到工程创新的激励。这种专业培训为学生提供数学建模，算法开发以及并行和分布式编程方面的技术和分析技能，这使他们在未来的追求中受益，如研究生学习或行业工作。通过额外的专业发展活动，包括HPC速成班，实地考察，特邀演讲者，每周小组会议和教师导师培训研讨会，进一步加强了这种培训的质量。 该计划还包括职业发展、文献检索、技术写作和研究生院咨询等方面的研讨会，所有学生都有机会参加并出席专业会议。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Thermal Simulation of a CPU Based on Model Order Reduction

基于模型降阶的CPU热仿真

• 发表时间: 2020
• 期刊: IEEE MIT Undergraduate Research Technology Conference 2020
• 作者: Ruttan K., Jiang L.

COMBS: First Open-Source Based Benchmark Suite for Multi-physics Simulation Relevant HPC Research

COMBS：第一个基于开源的基准套件，用于多物理场仿真相关 HPC 研究

• 发表时间: 2020
• 期刊: Algorithms and Architectures for Parallel Processing. ICA3PP 2020. Lecture Notes in Computer Science
• 作者: Dowling A., Swiatowicz F.

Extending the Spectral Differencing Method with Divergence Cleaning (SDDC) to the Hall MHD Equations

将具有发散清理 (SDDC) 的光谱差分方法扩展到霍尔 MHD 方程

• 发表时间: 2023
• 期刊: March 2023
• 作者: Russell J. Hankey

A Hybrid Optimization and Deep Learning Algorithm for Cyber-resilient DER Control

用于网络弹性 DER 控制的混合优化和深度学习算法

• DOI: 10.1109/isgt51731.2023.10066345
• 发表时间: 2023
• 期刊: 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT
• 作者: Panahazari, Mohammad;Koscak, Matthew;Zhang, Jianhua;Hou, Daqing;Wang, Jing;Gao, David Wenzhong
• 通讯作者: Gao, David Wenzhong

Parallel Unsteady Reynolds-Averaged Navier-Stokes (URANS) Studies of the Performance of ONR Waterjet AxWJ-2

ONR 喷水推进器 AxWJ-2 性能的并行非定常雷诺平均纳维斯托克斯 (URANS) 研究

• 发表时间: 2023
• 期刊: March 2023
• 作者: Stephen E. Monroe