Not every developer who might like to learn CUDA has access to an NVIDIA GPU, so by expanding the hardware that CUDA can target to include x86, you'll be able to get your feet wet with CUDA on ...

COMP_SCI 368, 468: Programming Massively Parallel Processors with CUDA VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Completed CS 213 or CS/CE Graduate standing or Consent of Instructor Description ...

When used correctly, atomic operations can help implement a wide range of generic data structures and algorithms in the massively threaded GPU programming environment.

Nvidia’s warning to developers about running its CUDA software, a programming toolkit, on third-party graphic processing units has exposed another weak link in China’s quest for chip self ...