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.

该奖项为纽约州波茨坦克拉克森大学的高性能计算 (HPC) 领域为期三年的 REU 站点提供支持，该领域对国家安全、科学发现和技术创新至关重要。该项目的目标是鼓励 30 名才华横溢的本科生在 HPC 领域继续研究生学习和职业生涯，让他们参与激动人心的持续研究项目，并在为期十周的暑期研究经历及以后培养他们的才能。为学生提供的十六个正在进行的研究项目都是创新的，并且具有与社会相关的工程应用的共同主题，这些应用源自航空工程、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，该项目服务于国家利益，正如 NSF 的使命所述：促进科学进步；促进国民健康、繁荣和福利；学生是从提供有限或不提供 HPC 研究机会的目标机构中招募的，例如历史上少数族裔的学院和大学。重点是吸引代表性不足的少数族裔和女学生。 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 应用设计和开发方面的专门培训，这些培训植根于工程创新并受到工程创新的推动。这种专门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，这对他们未来的研究生学习或行业工作有益。其他专业发展活动进一步加强了培训的质量，包括 HPC 速成课程、实地考察、特邀演讲者、每周小组会议以及教师导师培训研讨会。 职业发展、文献检索、技术写作和研究生院建议方面的研讨会也被纳入该计划，所有学生参与者都有机会参加专业会议并在会上发表演讲。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.

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

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

Quantum element method for multi-dimensional nanostructures enabled by a projection-based learning algorithm

基于投影的学习算法实现多维纳米结构的量子元方法

• DOI: 10.1016/j.sse.2023.108610
• 发表时间: 2023
• 期刊: Solid-State Electronics
• 影响因子: 1.7
• 作者: Veresko, Martin;Cheng, Ming-Cheng
• 通讯作者: Cheng, Ming-Cheng