CUDA C Programming on GPUs for High Performance Computing GPUs are high-performance many-core processors. Students will learn massively parallel programming using CUDA C and develop parallel algorithms to solve real problems. Topics include parallel computing, GPUs architecture, threads, performance issues, and floating point representation. Not offered on a regular basis. Credit Hours: 4 Prerequisites: CSCI 1730 or Permission of Department Level: Graduate Undergraduate
