Summer Research Experiences for Undergraduates (REU) - RECSEM REU

Online Application Download the Flyer RECSEM 2017 Staff Area

About the RECSEM site REU site program

The Research Experiences in Computational Science, Engineering, and Mathematics (RECSEM) REU site program begins in 2017. This 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 who are in the forefront of 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. 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 in this ten week long program.

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 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.

About the CSURE REU site program

The Computational Science for Undergraduate Research Experience (CSURE) REU site project started in 2013 and lasted for four years. It's goal was to direct a group of undergraduate students to explore the emergent computational science models and techniques proven to work in a number of data and compute intensive applications using the supercomputers at the National Institute for Computational Sciences (NICS) located at the Oak Ridge National Laboratory. To learn more about the CSURE program and their projects, please visit the CSURE site program , or The CSURE-REU program is summarized in this paper presented in XSEDE16.

Application - 2017 Requirements

The application requirements are:

  • Two letters of recommendation from professors on school letterhead *
  • Official Transcripts from all universities and colleges you have attended *
  • Goal statement (uploaded on application)
  • Resume (uploaded on application)

Mailing Address

Dr. Kwai Wong
Joint Institute for Computational Sciences
University of Tennessee
Claxton Bldg., room 354
1122 Volunteer Blvd.
Knoxville, TN, 37996-3460