REU Site : Research Experiences in Computational Science, Engineering, and Mathematics (RECSEM)

田纳西大学（UTK）的计算科学、工程和数学研究经验（RECSEM） REU现场项目指导一组10名本科生通过一系列内聚计算和数据密集型应用探索新兴的跨学科计算科学模型和技术。RECSEM计划补充了计算科学在许多高级学位课程中日益增长的重要性，并为本科生提供科学理解和发现，专注于使用高性能计算（HPC）的研究项目。该计划旨在通过与国家计算科学研究所（NICS），创新计算实验室（ICL）以及UTK和橡树岭国家实验室的计算科学联合研究所（JICS）从事科学计算研究的科学家团队合作，为学生提供现实世界的研究经验。由PI在香港的合作大学支持的其他国际学生也参加了这个项目。在这个为期十周的项目中，RECSEM的学生一起合作完成他们的研究任务，同时分享一个独特的机会来交换学术经验，科学思想和文化社会活动。因此，这个REU站点计划支持了NSF促进科学进步和促进国家繁荣的使命。这个项目是围绕着许多科学应用中共同的思想和实践的协同主题组织的。研究项目分为三个相互关联的研究兴趣领域：工程应用、数值数学和线性代数软件和工具。这些项目的工作范围强调在每个科学领域的专家团队的指导下进行软件开发、模型实现以及数值实验的设计和评估。项目包括多尺度材料科学和生物力学应用的计算，交通流现象的模拟，高阶并行数值方案的实现，以及使用机器学习和数据分析的不同技术和算法处理图像。学生将有机会在高性能计算集群上进行大规模的科学模拟，以及配备由极端科学与工程发现环境（XSEDE）组织提供的最新硬件技术的世界级最先进的超级计算机。这些最新的计算单元包括图形处理单元（gpu）、多核处理器和英特尔Xeon Phi处理器（MIC）。该计划分为四个主要阶段：HPC培训、研究制定、项目行动和科学报告。这些阶段旨在逐步帮助学生在适当的激励和指导下及时完成他们的研究项目。

The Research Experiences in Computational Science, Engineering, and Mathematics (RECSEM) REU site program at the University of Tennessee (UTK) directs a group of ten undergraduate students to explore the emergent interdisciplinary computational science models and techniques via a number of cohesive compute and data intensive applications. The RECSEM program complements the growing importance of computational sciences in many advanced degree programs and provides scientific understanding and discovery to undergraduates with an intellectual focus on research projects using high performance computing (HPC). This program aims to deliver a real-world research experience to the students by partnering with teams of scientists engaged in scientific computing research at the National Institutes of Computational Sciences (NICS), the Innovative Computing Laboratory (ICL), and the Joint Institute for Computational Sciences (JICS) at UTK and Oak Ridge National Laboratory. Additional international students supported by PI's partner universities in Hong Kong also participate in this program. Together the students of RECSEM work collaboratively to achieve their research tasks, and at the same time share a unique opportunity for trading academic experiences, scientific ideas, and cultural social activities in this ten week long program. Thus, this REU site program supports the NSF's mission to promote the progress of science and to advance the national prosperity.This program is organized around a synergetic theme of ideas and practices those are common to many scientific applications. The research projects are categorized in three interrelated areas of research interests: engineering applications, numerical mathematics, and linear algebraic software and tools. The scope of work for these projects put emphasis on conducting software development, model implementation, and design and evaluation of numerical experiments under the guidance of a team of experts in each scientific domain. Projects include computation in multi-scale materials science and biomechanics applications, simulation of traffic flow phenomena, implementation of high order parallel numerical schemes, and processing of images with different techniques and algorithms of machine learning and data analytics. The students would have opportunities to perform large-scale scientific simulations on HPC clusters as well as world-class state-of-the-art supercomputers equipped with the latest hardware technologies provided by the Extreme Science and Engineering Discovery Environment (XSEDE) organization. These latest computing units include graphical processing units (GPUs), multicore processors and the Intel Xeon Phi processors (MIC). This program is organized in four major stages: HPC training, research formulation, project action, and scientific reporting. These stages aim to gradually assist the students towards finishing their research projects in time with appropriate level of motivation and guidance.