A CUDA "kernel" is the same thing as what has been called "parallel DO" or "parallel FOR" since 1963, or perhaps even earlier.
This is slightly obfuscated by not using a keyword like "for" or "do", by the fact that the body of the loop (the "kernel") is written in one place and and the header of the loop (which gives the ranges for the loop indices) is written in another place, and by the fact that the loop indices have standard names.
A "parallel for" may have as well a syntax identical with a sequential "for". The difference is that for the "parallel for" the compiler knows that the iterations are independent, so they may be scheduled to be executed concurrently.
NVIDIA has been always greatly annoying by inventing a huge amount of new terms that are just new words for old terms that have been used for decades in the computing literature, with no apparent purpose except of obfuscating how their GPUs really work. Worse, AMD has imitated NVIDIA, by inventing their own terms that correspond to those used by NVIDIA, but they are once again different.
This is slightly obfuscated by not using a keyword like "for" or "do", by the fact that the body of the loop (the "kernel") is written in one place and and the header of the loop (which gives the ranges for the loop indices) is written in another place, and by the fact that the loop indices have standard names.
A "parallel for" may have as well a syntax identical with a sequential "for". The difference is that for the "parallel for" the compiler knows that the iterations are independent, so they may be scheduled to be executed concurrently.
NVIDIA has been always greatly annoying by inventing a huge amount of new terms that are just new words for old terms that have been used for decades in the computing literature, with no apparent purpose except of obfuscating how their GPUs really work. Worse, AMD has imitated NVIDIA, by inventing their own terms that correspond to those used by NVIDIA, but they are once again different.