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

该奖项将支持斯塔滕岛学院(纽约城市大学)与亨特学院(纽约城市大学)合作的一个为期三年的REU站点，并得到CUNY高性能计算中心的技术支持，该领域在全国日益重要：高性能计算中的计算方法与计算科学的应用。REU网站将招收9名本科生，进行为期10周的暑期体验。学生将与他们的导师一起在计算机科学和相关领域(如计算视觉、计算生物学和化学、网络安全、深度和机器学习、传感器网络和复杂系统建模和仿真)提出具有挑战性的问题。这项研究将要求学生学习并行处理编程技术来解决问题。重点将从少数族裔服务机构等提供有限STEM研究机会的高校招收学生。通过培养多样化、包容性的研究项目，在鼓励合作和友情的同时，促进尊重，学生可以充分发挥他们的潜力，在学术和职业追求上都取得成功。REU网站不仅将吸引学生发展研究技能，还将激励他们继续计算机科学及相关学科的研究生学习和研究事业。该项目为学生提供了一个独特的机会，在纽约市立大学高性能计算中心(CUNY HPCC)的技术支持下，为学生提供一个解决具有挑战性和需要并行性的实际项目的机会，同时与他们的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网站培养了一批技术熟练、智力熟练的研究人员，他们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，以发展科学研究能力，提高演讲和写作技能，并合作产生重要的研究成果，发表在会议记录或期刊上。该计划建立在以前REU现场经验的基础上，并引入了重大改进，特别侧重于整合各种需要尖端方法的项目，如深度和机器学习的应用。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。

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.