REU Site: Research on Computational Methods in High Performance Computing and Their Applications to Computational Sciences

REU 网站：高性能计算中的计算方法及其在计算科学中的应用研究

• 批准号: 2348884
• 负责人: Louis Petingi
• 金额: $ 37.45万
• 依托单位: CUNY College of Staten Island
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-15 至 2027-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2348884&HistoricalAwards=false
• 关键词: REU; Site; Research; Computational; Methods

The award will provide support for a three-year REU Site at the College of Staten Island (City University of New York), in collaboration with Hunter College (City University of New York) and with technical support from CUNY's High Performance Computing Center, in an area of increasing national importance: Computational Methods in High Performance Computing with Applications to Computational Sciences. The REU Site will recruit nine undergraduate students for a ten-week summer experience. The students will undertake challenging problems with their mentors in computer science and related fields (such as Computational Vision, Computational Biology and Chemistry, Cyber Security, Deep and Machine Learning, Sensor Networks, and Complex System Modeling and Simulation). The research will require students to learn parallel processing programming techniques for problem-solving. Emphasis will be placed on recruiting students from colleges and universities that offer limited STEM research opportunities such as Minority Serving Institutions. By fostering a research program that is diverse, inclusive, and promotes respect while encouraging collaboration and camaraderie, students can realize their full potential and succeed in both academic and career pursuits. The REU Site will not only attracts students to develop research skills but will also motivate them to pursue graduate studies and research careers in computer science and related disciplines.The program provides a unique opportunity for students to tackle challenging and practical projects requiring parallelism, with the technical support from the City University of New York High Performance Computing Center (CUNY HPCC), while learning theoretical concepts and parallel programming techniques and computational methods in different research areas of computer science or closely related fields, with their mentors. By instilling a comprehensive understanding of parallelism and computational methods, the REU Site cultivates a cohort of skilled and intellectually adept researchers poised to contribute meaningfully to the advancement of computer science and its allied disciplines. Students will be trained to develop competency in scientific research, improve presentations and writing skills, and collaborate to produce significant research results for publication in either a conference proceeding or a journal. The program builds upon the foundation of a previous REU Site experience and introduces significant enhancements with a particular focus on the integration of a diverse range of projects requiring cutting-edge methodologies such as the application of deep and machine learning.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.

该奖项将与亨特学院（纽约市立大学）合作，并在纽约市立大学高性能计算中心的技术支持下，为斯塔顿岛学院（纽约市立大学）的一个为期三年的 REU 站点提供支持。一个日益重要的国家领域：高性能计算的计算方法及其在计算科学中的应用。 REU 站点将招收 9 名本科生，进行为期十周的暑期体验。学生将与计算机科学及相关领域的导师一起解决具有挑战性的问题（例如计算视觉、计算生物学和化学、网络安全、深度和机器学习、传感器网络以及复杂系统建模和仿真）。该研究将要求学生学习用于解决问题的并行处理编程技术。重点将放在从提供有限 STEM 研究机会的学院和大学（例如少数族裔服务机构）招收学生。通过培养多元化、包容性、促进尊重、同时鼓励合作和友情的研究项目，学生可以充分发挥自己的潜力，并在学术和职业追求上取得成功。 REU 站点不仅会吸引学生发展研究技能，还会激励他们在计算机科学及相关学科领域攻读研究生和研究职业。该项目为学生提供了一个独特的机会来解决需要并行性的具有挑战性和实际的项目，获得纽约市立大学高性能计算中心（CUNY HPCC）的技术支持，同时与导师一起学习计算机科学不同研究领域或密切相关领域的理论概念、并行编程技术和计算方法。通过灌输对并行性和计算方法的全面理解，REU 站点培养了一批技术精湛、智力娴熟的研究人员，准备为计算机科学及其相关学科的进步做出有意义的贡献。学生将接受培训以培养科学研究能力，提高演讲和写作技巧，并合作产生重要的研究成果以在会议论文集或期刊上发表。该计划建立在之前 REU Site 经验的基础上，并引入了重大增强功能，特别关注需要前沿方法（例如深度学习和机器学习的应用）的各种项目的集成。该奖项反映了 NSF 的法定使命通过使用基金会的智力优点和更广泛的影响审查标准进行评估，并被认为值得支持。