MURI Program: High-performance GPU parallel computing
DUE is home to IEL and the CRL which is administering the Multidisciplinary Undergraduate Research Institute (MURI) both in the academic year and the summer, which creates and supports multidisciplinary research teams consisting of undergraduate and graduate students, postdoctoral fellows, senior staff and faculty. The primary purpose of these teams is to provide undergraduates a unique opportunity to gain research skills by working with mentors on real world problems.
Overview of department:
Computer science is one of the fastest-growing fields in the United States. It contributes to every society — from medicine to economics to the arts and entertainment. Whether you want to dedicate your life to performing medical research, creating algorithms, or bringing new technologies to life, research experiences help you to succeed.
Project summary:
The student will be working on the analysis of the high performance and acceleration/optimization of an in-house GPU (CUDA-C) code for image-based computational hemodynamics. This code enables noninvasive and personalized quantification of blood pressure and velocity in diseased arteries that are important for diagnosis and treatment of cardiovascular diseases.
Specific tasks that the MURI student will complete:
Each student will do the following tasks:
- Analyze the performance of the existing CUDA-C code on different computers
- Optimization of the algorithm to accelerate the computation. 3. Application studies on human aortoiliac arterial stenosis
Specific qualifications (knowledge, skills, class standing, etc) we desire the MURI candidate to have:
- Unix system and high-performance computation
- CUDA-C programing
- MATLAB programing
- Post-processing to visualize flow behavior in stenosed aortoiliac arteries
Learning objectives:
By the end of this position assignment, the student will meet the following learning objectives
First-hand experiences on:
- Problem Solver: GPU parallels computing
- Problem Solver: Image-based computational hemodynamics
- Innovator: Science and engineering to contribute to the medical development and advance toward precision medicine.