Adding GPU Computing to Computer Organization Courses

How can parallel computing topics be incorporated into core courses that are taken by the majority of undergraduate students? This paper reports our experiences adding GPU computing with CUDA into the core undergraduate computer organization course at two different colleges. We have found that even though programming in CUDA is not necessarily easy, programmer control and performance impact seem to motivate students to acquire an understanding of parallel architectures.