About the RECSEM Program
The Research Experiences in Computational Science, Engineering, and Mathematics (RECSEM) REU summer program began in 2017, following the successful CSURE program that ran from 2013-2016. Held at the University of Tennessee (UTK), RECSEM 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 10-week 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).
RECSEM aims to deliver a real-world research experience to the students by partnering with teams of scientists who are in the forefront of scientific computing research here at NICS, the Innovative Computing Laboratory (ICL), and the Oak Ridge National Laboratory (ORNL). After the summer program, the REU participants may choose to continue their research efforts at their home institutions to the extent practical. Ten additional international students supported by our 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.
This program is organized around a synergetic theme of ideas and practices that 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 places 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. Students 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) program. These latest computing units include graphical processing units (GPUs), multicore processors and the Intel Xeon Phi processors (MIC).
The 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 completing their research projects in a timely manner with appropriate level of motivation and guidance.
|RECSEM 2017||RECSEM 2018|
|RECSEM 2019||RECSEM 2020|
Dr. Kwai Wong