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“GPU programming still requires the programmer to manage a lot of low-level details that often distract them from the core of what they’re trying to do,” says Holk.

Over at Dr. Dobbs, Rob Farber writes that, when used correctly, atomic operations can help implement a wide range of generic data structures and algorithms in the massively threaded GPU programming ...

In a nutshell, CUDA is a set of tools, libraries, and C language extensions that let developers have more easily generalizable and lower-level access to the G8800's hardware than typical graphics ...