It has got nothing to do with "learning styles". Parallel Computing needs knowledge of three things; a) Certain crucial architectural aspects (logical and physical) of the hardware b) Decomposing a problem correctly to map to that hardware c) Algorithms using a specific language/framework to combine the above two. CUDA (and other similar frameworks) only come in the last step and so a knowledge of the first two is a prerequisite.