The guide takes a closer look at the open-source library PyTorch which allows a Python developer to quickly get up-to-speed with the features of CUDA that make it so appealing to researchers and ...

Huawei makes its CANN AI GPU toolkit open source to challenge Nvidia’s proprietary CUDA platform CUDA’s near 20-year dominance has locked developers into Nvidia’s hardware ecosystem exclusively CANN ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

The breakthrough was achieved by implementing tons of fine-grained optimizations and usage of assembly-like PTX (Parallel Thread Execution) programming instead of Nvidia's CUDA, according to an ...

In addition, Nvidia announced that more than 20 universities around the world have adopted CUDA for multicore and parallel processing programming, with several more also exploring CUDA for inclusion ...

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 ...

Nvidia released CUDA Toolkit 2.2 to all developers today. As I mentioned in April when the beta shipped to registered developers, the toolkit includes a visual GPU profiler that now works on Vista ...

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 ...