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 ...

On a CUDA-enabled GPU, many processors can be executed at once, which enables developers to conveniently take advantage of a data parallel-programming methodology.

COMP_ENG 368, 468: Programming Massively Parallel Processors with CUDA VIEW ALL COURSE TIMES AND SESSIONS Prerequisites COMP_SCI 213, graduate standing, or consent of instructor Description A hands-on ...

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 ...

There are no function calls to CUDA, because of the asynchronous nature of the kernel invocations. More information can be found in the tutorials or in “The CUDA Programming Guide” in the ...

Per a programming guide from way back in 2007, the goal of the CUDA programming interface is to give users familiar with the C programming language an easy path to write programs for execution by ...

Since its inception, CUDA has been a game changer. It has been used to tap into the power offered by GPUs for advanced simulation, physics calculations, scientific modeling, crypto mining, and ...

NVIDIA had told us it would be accelerating its CUDA program to try and get an advantage over its competitors as OpenCL brings general-purpose GPU computing to the mainstream, and it looks like ...