Project Title  Efficient Use of HPC Resources for Optimized CFD Simulations 
Summary  The undergraduate student intern will work with the mentor to learn how to optimize the computational fluid dynamics (CFD) code for the numerical simulations of compressible flow problems, identify performance bottlenecks using performance analysis tools and work on the development of parallelization strategies to use the high performance computing (HPC) resources efficiently. 
Job Description  The intern's duties are to understand the physics of classical fluid instability, the numerical algorithms used for the simulations in mixing, and learn to use high performance computing. 
Use of Blue Waters  The Blue Waters supercomputer will be used for the optimization of the code using compilers (Cray, PGI, Intel, GNU) that are available. TAU profiling will be used for the performance analysis. 
Conditions/Qualifications  The student working on this project must be an Undergraduate student in goodstanding at the University of Arkansas. The student engaged or interested in mathematics, computing and their applications in physics is eligible for this position. 
Start Date  05/31/2018 
End Date  05/31/2019 
Location  Computational Applied Mathematics Group University of Arkansas Fayettiville, Arkansas 
Interns  John McGarigal
Alaina Edwards
