Every processor architecture provides different approaches to writing code to run on the processor. CUDA is no exception; it also provides different approaches to coding. One such approach, which has become very popular in recent years, is making use of OpenACC, which fundamentally is directive-based programming.
OpenACC is basically a standard which exposes heterogeneous computing as a first-class citizen. The standard fundamentally dictates that there are two kinds of processor, that is, a host and a device/accelerator, which is very similar to the concepts that the CUDA programming model states.
CUDA programming, using languages such as C, C++, Fortran, and Python, is the preferred way to express parallelism for programmers who want to get the best performance. Programming languages require a programmer to recreate their sequential program from...