NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult ...

CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI strategy.

Good book for learning CUDA and/or OpenCL GPU programming? MarkLT1 Oct 25, 2014 Jump to latest Follow Reply ...

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 ...

Some other learning tools for GPU programming we’ve seen in the past include this puzzle-based tool which illustrates some of the specific problems GPUs excel at.

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 ...

However, CUDA’s proprietary and closed-source nature has left many scientific research facilities, AI startups and enterprises struggling with their dependency on the programming model.

In this Programming Throwdown podcast, Mark Harris from Nvidia describes Cuda programming for GPUs. "CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

Graphics processing units from Nvidia are too hard to program, including with Nvidia's own programming tool, CUDA, according to artificial intelligence research firm OpenAI. The San Francisco ...