EECS 471
Applied Parallel Programming with GPUs
Parallel computing and application development for massively parallel processors such as GPUs. Focuses on forms of parallelism, programming models such as CUDA, mapping computations to parallel hardware, efficient data structures, and paradigms for efficient parallel algorithms. Students will gain hands-on experience in programming assignments and projects.
Prerequisites & course information
[EECS 281 and 370; (C or better, No OP/F)] or Graduate Standing in CSE. Enrollment in one minor elective allowed for Computer Science Minors. (Prerequisites enforced at registration.) (BS). May not be repeated for credit.
Sources
Catalogue variants
- Applied Parallel Programming with GPUs · 4 · College of Engineering catalogue
- Applied Parallel Programming with GPUs · Graduate credit