Parallel Programming for Many-Core GPUs

Course Type: 
CS
Code: 
6370
Level: 
Graduate
Credit Hours: 
3
Schedule Type: 
Lecture
Description: 

This course will introduce an important trend in high-performance computing, the use of many-core graphics processing units (GPUs) to solve computation-intensive problems. Students will learn about new many-core GPU architecture, CUDA programming model, memory hierarchy design, parallel programming concepts, and compiling techniques to improve parallelism. Department Managed Prerequisite(s): Undergraduate level CEG 5310 Minimum Grade of D and Undergraduate level CEG 6350 Minimum Grade of D and Undergraduate level CS 5100 Minimum Grade of D

Restrictions: 
Must be enrolled in one of the following Levels: Graduate, Medical, Professional. Must be enrolled in one of the following Colleges: College of Egr & Computer Sci.